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HYPER Tables of Contents: 9900010203040506070809101112131415

Proceedings of the 20th ACM Conference on Hypertext and Hypermedia

Fullname:Hypertext'09: Proceedings of the 20th ACM Conference on Hypertext and Hypermedia
Editors:Ciro Cattuto; Giancarlo Ruffo; Filippo Menczer
Location:Torino, Italy
Dates:2009-Jun-29 to 2009-Jul-01
Standard No:ISBN: 1-60558-486-X, 978-1-60558-486-7; ACM Order Number: 614091; ACM DL: Table of Contents hcibib: HYPER09
Links:Conference Home Page
  1. Keynote 1
  2. Keynote 2
  3. Hypertext structure and usage
  4. Spatial information organization
  5. Information access
  6. Link analysis
  7. Applications
  8. Content analysis
  9. Tracking and exploiting user behavior
  10. Social search
  11. Networks properties
  12. Recommendation and clustering
  13. Weblogs
  14. Perspective and point Of view
  15. Demonstrations
  16. Posters
  17. Workshops

Keynote 1

The social hyperlink BIBAKFull-Text 1-2
  Lada A. Adamic
Online, hyperlinks connect not just related information, but people who relate to one another. In this talk I will discuss the many dimensions and uses of the social hyperlink across a variety of online communities. Sometimes it is the information that brings the people together, as they are seeking answers to questions, or seeking to answer questions. In online question and answer forums, hyperlinks record a fleeting social interaction, an information exchange. In other instances, for example, in virtual worlds, social hyperlinks may be conduits for social influence, direct transfer of information, or even the sharing of virtual goods. Occasionally, an online tie is established in order to navigate the real world, or more specifically, find a real couch to sleep on. This of course takes a good deal of trust -- trust that is expressed in hyperlinks.
Keywords: online communities, social networks

Keynote 2

Relating content through web usage BIBAKFull-Text 3-4
  Ricardo Baeza-Yates
Relating content is important in any document base, for example to automatically create hyperlinks. Classical techniques to relate Web content include text mining and link analysis. However, a more powerful source for semantically connecting two Web pages is user behavior. In this short summary we categorize existing approaches that use what people do in the Web to relate content and we discuss the issues and the research problems associated with this idea.
Keywords: crowd computing, relating content, web usage

Hypertext structure and usage

On hypertext narrative BIBAKFull-Text 5-14
  Mark Bernstein
Annals and chronicles may be the foundation of accounting, but writers of stories and histories have long known that they seldom render a satisfactory account of complex events. In place of a simple chronological list, narrative instead organizes our account in new sequences in order to illuminate the interplay of actors and events. We want hypertext narrative to do things we cannot achieve in print; though we may occasionally use links to introduce variation in presentation or in story; it is now clear that hypertext will most frequently prove useful in changing (or adapting) plot. After discussing the ways in which plot may be varied, I describe the use of stretchtext as a reaction against the perceived incoherence of classic hypertext narrative, demonstrate the limitations that conventional stretchtext necessarily imposes on hypertext narrative, and describe an implemented generalization of stretchtext that matches the expressive and formal capabilities of classical hypertext systems while appearing to be a mere stretchtext and while running within the confines of a Web browser.
Keywords: fiction, hypertext narrative, patterns, stretchtext
Bringing your dead links back to life: a comprehensive approach and lessons learned BIBAKFull-Text 15-24
  Atsuyuki Morishima; Akiyoshi Nakamizo; Toshinari Iida; Shigeo Sugimoto; Hiroyuki Kitagawa
This paper presents an experimental study of the automatic correction of broken (dead) Web links focusing, in particular, on links broken by the relocation of Web pages. Our first contribution is that we developed an algorithm that incorporates a comprehensive set of heuristics, some of which are novel, in a single unified framework. The second contribution is that we conducted a relatively large-scale experiment, and analysis of our results revealed the characteristics of the problem of finding moved Web pages. We demonstrated empirically that the problem of searching for moved pages is different from typical information retrieval problems. First, it is impossible to identify the final destination until the page is moved, so the index-server approach is not necessarily effective. Secondly, there is a large bias about where the new address is likely to be and crawler-based solutions can be effectively implemented, avoiding the need to search the entire Web. We analyzed the experimental results in detail to show how important each heuristic is in real Web settings, and conducted statistical analyses to show that our algorithm succeeds in correctly finding new links for more than 70% of broken links at 95% confidence level.
Keywords: broken links, integrity management
The dynamics of personal territories on the web BIBAKFull-Text 25-34
  Thomas Beauvisage
In this paper, we present a long-term study of user-centric Web traffic data collected in 2000-2002 and 2005-2006 from two large representative panels of French Internet users. Our work focuses on the dynamics of personal territories on the Web and their evolution between 2000 and 2006. At the session level, we distinguish four profiles of browsing dynamics in 2005-2006, and point out the growing dichotomy between straight routine sessions and exploratory browsing. At a global level, we observe that although each individual's corpus of visited sites is permanently growing, his browsing practices are structured around routine well-known sites which operate as links providers to new sites. We argue that this tension between the known and the unknown is constitutive of Web practices and is a fundamental property of personal Web territories.
Keywords: browsing behaviors, traffic analysis, usage territories, user-centric traffic data, web usage mining

Spatial information organization

HyperSea: towards a spatial hypertext environment for web 2.0 content BIBAKFull-Text 35-44
  Georgios D. P. Styliaras; Sotiris P. Christodoulou
In this paper, we present HyperSea, an environment for importing, organizing and interacting with web 2.0 content. The environment is based mainly on previous research on hypertext systems, spatial hypertext and it tries to overcome presentation limitations of today's popular web 2.0 applications. Content is structured as islands and nodes which may be interlinked and characterized by various levels of visual cues, according to its type and origin. As the resulting content is structured, HyperSea may support alternative views and search operations over it. We present an extensive case-study for illustrating functionality and we organize some future work.
Keywords: hypertext structure, spatial hypertext, web 2.0 content
Comparing spatial hypertext collections BIBAKFull-Text 45-50
  J. Nathan Matias; David P. Williams
This paper proposes an approach to comparison of spatial hypertext collections which avoids becoming entangled in complexities of version management and merging. We also propose and illustrate principles for presenting comparisons of spatial hypertext without losing important implicit information.
   We argue that multiple view options, distinct areas for different collections, and dependency lists are all necessary if comparison is to retain the kinds of meaning fundamentally important to spatial hypertext.
Keywords: collaboration, comparison, model merging, shywiki, sidiff, spatial hypertext, tinderbox, version management, vkb, vue, webspiration
Towards a constructivist approach to learning from hypertext BIBAKFull-Text 51-56
  Iyad AlAgha; Liz Burd
How to help learners construct knowledge from hypertext and plan a navigation process on the Web are important issues in Web based learning. To provide solutions to these issues, this paper presents Knowledge Puzzle, a tool for knowledge construction from the Web. Its main contribution to Web-based learning is the personalization of information structure on the Web to cope with the knowledge structure in the learner's mind. Self-directed learners will be able to adapt the path of instruction on the Web to their way of thinking, regardless of how the Web content is delivered. The way to achieve that is to provide learners with a meta-cognitive tool that enables them to bring knowledge gained from the Web to the surface and visualize what they have in mind. Once we get the learner's viewpoint externalized, it will be converted to a hypermedia layer that will be laid over the Web pages visited by the learner. The attached layer adapts the views of Web pages to the learner's information needs by associating information pieces that are not already linked in hyperspace and attaching the learner's notes to the page content. Finally, a hypertext version of the whole constructed knowledge is produced to enable fast and easy reviewing.
Keywords: adaptable hypertext, constructivism, hypertext layering, knowledge construction, meta-cognitive tool, navigation planning
Supporting daily scrum meetings with change structure BIBAKFull-Text 57-62
  Jessica Rubart; Frank Freykamp
A flexible cooperative task board for supporting daily scrum meetings is described as an application of different hypermedia domains. In addition, change structure is introduced as a means to explicitly model changes in task management. It helps the scrum development team in a sprint retrospective to improve their planning.
Keywords: change link, change structure, cooperative hypermedia, daily scrum meeting, knowledge management, scrum, spatial hypertext, task board, task management

Information access

Comparing the performance of us college football teams in the web and on the field BIBAKFull-Text 63-72
  Martin Klein; Olena Hunsicker; Michael L. Nelson
In previous research it has been shown that link-based web page metrics can be used to predict experts' assessment of quality. We are interested in a related question: do expert rankings of real-world entities correlate with search engine (SE) rankings of corresponding web resources? To answer this question we compared rankings of college football teams in the US with rankings of their associated web resources. We looked at the weekly polls released by the Associated Press (AP) and USA Today Coaches Poll. Both rank the top 25 teams according to the aggregated expertise of sports writers and college football coaches. For the entire 2008 season (8/2008 { 1/2009), we compared the ranking of teams (top 10 and top 25) according to the polls with the rankings of one to eight URLs associated with each team in Google, Live Search and Yahoo. We found moderate to high correlations between the final rankings of 2007 and the SE ranking in mid 2008 but the correlation between the polls and the SEs steadily decreased as the season went on. We believe this is because the rankings in the web graph (as reported via SEs) have "inertia" and do not rapidly fluctuate as do the teams' on the field fortunes.
Keywords: correlation, ranking, real world objects, search engines
Improving recommender systems with adaptive conversational strategies BIBAKFull-Text 73-82
  Tariq Mahmood; Francesco Ricci
Conversational recommender systems (CRSs) assist online users in their information-seeking and decision making tasks by supporting an interactive process. Although these processes could be rather diverse, CRSs typically follow a fixed strategy, e.g., based on critiquing or on iterative query reformulation. In a previous paper, we proposed a novel recommendation model that allows conversational systems to autonomously improve a fixed strategy and eventually learn a better one using reinforcement learning techniques. This strategy is optimal for the given model of the interaction and it is adapted to the users' behaviors. In this paper we validate our approach in an online CRS by means of a user study involving several hundreds of testers. We show that the optimal strategy is different from the fixed one, and supports more effective and efficient interaction sessions.
Keywords: adaptivity, conversational recommender systems, markov decision process, reinforcement learning, user study
HMNews: an integrated system for searching and browsing hypermedia news content BIBAKFull-Text 83-88
  Maurizio Montagnuolo; Marco Ferri; Alberto Messina
We describe HMNews (Hyper-Media News), a system designed and implemented for the collection, indexing and retrieval of hypermedia news content coming from Digital Television and the Web. The novelty of the approach relies in the ability of providing hierarchical and multi-resolution multimodal indexes based on the application of a novel generalised hybrid clustering technique. The system supports many functionalities: a) bi-directional news conceptual linking; b) relevant topics detection and tracking; c) integrated hypermedia browsing; d) integrated search and retrieval.
Keywords: data mashup, news retrieval, topic detection and tracking

Link analysis

The scalable hyperlink store BIBAKFull-Text 89-98
  Marc Najork
This paper describes the Scalable Hyperlink Store, a distributed in-memory "database" for storing large portions of the web graph. SHS is an enabler for research on structural properties of the web graph as well as new link-based ranking algorithms. Previous work on specialized hyperlink databases focused on finding efficient compression algorithms for web graphs. By contrast, this work focuses on the systems issues of building such a database. Specifically, it describes how to build a hyperlink database that is fast, scalable, fault-tolerant, and incrementally updateable.
Keywords: hyperlink database, scalability, web graph
Scholarly research process: investigating the effects of link type and directionality BIBAKFull-Text 99-108
  Mark Leslie Alford; Emilia Mendes
Hypertext research has discovered new ways to explore, represent and visualise data and has led to many improvements in the usability and usefulness of systems. However, in the field of scholarly writing research, several studies discuss the need for improving the current state of affairs [18][24][29]. This research aimed to investigate whether typed and/or bi-directional links have an effect on users' performance and confidence when undertaking a literature survey [18], considered one of the phases of a scholarly writing process [29]. Two empirical studies were conducted -- a survey and a formal experiment, and results showed that both typed and bi-directional links had significant effect on users' performance and confidence when undertaking common early scholarly writing tasks, specifically benefiting tasks relating to surveying existing literature.
Keywords: bi-directional links, hypertext, links, scholarly research process, scholarly writing process, typed links
Relating web pages to enable information-gathering tasks BIBAKFull-Text 109-118
  Amitabha Bagchi; Garima Lahoti
We argue that relationships between Web pages are functions of the user's intent. We identify a class of Web tasks -- information-gathering -- that can be facilitated by providing links to pages related to the page the user is currently viewing. We define three kinds of intentional relationships that correspond to whether the user is a) seeking sources of information, b) reading pages which provide information, or c) surfing through pages as part of an extended information-gathering process. We show that these three relationships can be mined using a combination of textual and link information and provide three scoring mechanisms that correspond to them: SeekRel, FactRel and SurfRel. These scoring mechanisms incorporate both textual and link information. We build a set of capacitated subnetworks, each corresponding to a particular keyword. Scores are computed by computing flows on these subnetworks. The capacities of the links are derived from the hub and authority values of the nodes they connect, following the work of Kleinberg (1998) on assigning authority to pages in hyperlinked environments. We evaluated our scoring mechanism by running experiments on four data sets taken from the Web. We present user evaluations of the relevance of the top results returned by our scoring mechanisms and compare those to the top results returned by Google's Similar Pages feature, and the Companion algorithm (Dean and Henzinger, 1999).
Keywords: authorities, hubs, information gathering, network flow, related pages, similarity measures


Dynamic hypertext generation for reusing open corpus content BIBAKFull-Text 119-128
  Ben Steichen; Séamus Lawless; Alexander O'Connor; Vincent Wade
Adaptive hypermedia systems traditionally focus on providing personalised learning services for formal or informal learners. The learning material is typically sourced from a proprietary set of closed corpus content. A fundamental problem with this type of architecture is the need for handcrafted learning objects, enriched with considerable amounts of metadata. The challenge of generating adaptive and personalised hypertext presentations from open source content promises a dramatic improvement of the choice of information shown to the learner. This paper proposes an architecture of such a dynamic hypertext generation system and its use in an authentic learning environment. The system is evaluated in terms of educational benefit, as well as the satisfaction of the users testing the system. Concluding from this evaluation, the paper will explore the future work necessary to further enhance the system performance and learning experience.
Keywords: adaptation, hypertext generation, metadata generation, open corpus content, personalisation
2LIPGarden: 3D hypermedia for everyone BIBAKFull-Text 129-134
  Jacek Jankowski; Izabela Irzynska; Bill McDaniel; Stefan Decker
The early Web was hailed for being easy to use, and what is more important, giving people a chance to participate in its growth. The Web3D was believed to have potential to be the next step in the Web's evolution, since it could benefit from graphics hardware and provide users with new and exciting experiences. Nevertheless, Virtual Reality Markup Language (VRML), the first Web3D standard, and its successor X3D, did not generate commercial success. These languages were excessively complex for average Internet users.
   In this paper, we propose 2LIPGarden, a 3D Hypermedia publishing framework that lets individuals who only know basic HTML -- those same enthusiasts who could write pages for the early Web -- create simple, easy to use yet interactive 3D web pages. Our framework builds upon 2-Layer Interface Paradigm (2LIP), an attempt to marry advantages of 3D experience with the advantages of narrative structure of hypertext. We introduce c-link to HTML, a new type of hyperlink, which connects text with its 3D visualization.
Keywords: 2LIP, 2LIPGarden, 3D hypermedia, 3D navigation, 3D web, copernicus, hyper-storytelling, publish, transparency
Using a thematic model to enrich photo montages BIBAKFull-Text 135-140
  Charlie Hargood; David E. Millard; Mark J. Weal
Narrative systems attempt to present users with media collections that include some element of structure or story, however these collections can lack an authorial voice and seem bland as a result. In this paper we explore how themes could be used to enrich automatically generated narratives, and describe how a system which generated story selections in the form of photo montages was developed using a thematic model of narrative. This was achieved by selecting narrative atoms, in this case photographs, from a selection of images on a specific subject with relevance to a desired theme. Our pilot study shows that our thematic system selects images with greater relevance to desired titles, and that the positive impact of thematic selection increases when the images are presented together. We hope that our thematic work will inform others working on narrative systems, and will lead to richer automated narratives.
Keywords: folksonomies, narrative, narrative generation, thematics
Collaborative time-based case work BIBAKFull-Text 141-146
  Morten Bohøj; Niels Olof Bouvin
We explore in this paper using timelines to represent bureaucratic processes in a municipal setting. The system described herein enables citizens and case workers to collaborate over the application for and configuration of parental leave, which is a highly involved process under Danish law.
Keywords: temporal hypermedia, timeline

Content analysis

From XML inclusions to XML transclusions BIBAKFull-Text 147-156
  Angelo Di Iorio; John Lumley
Modularized documents, composed of fragments from multiple sources, provide users high maintainability and reuse. In the world of XML, powerful and widely-supported solutions exist to create such documents. Surprisingly enough, a lot of interesting features -- especially those envisioned by the pioneers of the hypermedia community -- are still missing for XML inclusions. The goal of this paper is to investigate these issues and identify possible improvements in this area. Our main inspiration is the Xanadu project and the concept of transclusions. This paper proposes an enhanced model to describe and interact with XML inclusions. We identify multiple classes of inclusions and multiple views of multi-source documents. Particular attention is also given to the idea of making inclusions transparent to both users and applications. An engine producing composite documents, with rich information about inclusions, and a viewer for modularized XML documents are presented as well.
Keywords: composite documents, hot-links, transclusions, xml inclusions, xslt
Interpreting the layout of web pages BIBAKFull-Text 157-166
  Luis Francisco-Revilla; Jeff Crow
Web pages such as news and shopping sites often use modular layouts. When used effectively this practice allows authors to present clearly large amounts of information in a single page. However, while sighted people can visually parse and understand these complex layouts in seconds, current assistive technologies such as screen readers cannot. This puts visually impaired users at a great disadvantage. In order to design better assistive technologies, we conducted a study of how people interpret modular layouts of news and shopping Web pages. The study revealed that when the layout complexity increases, the interpretation process gets longer and the reading gets more varied. Also, before looking at the main content, users first frame the Web page by looking for familiar structural elements that can be used as references and entry points. These elements include navigational bars, search boxes, and ads. This implies that assistive technologies can reduce the time required to frame the pages if they help users identify reference points and entry points.
Keywords: adaptive hypermedia, assistive technology, modular layouts, sighted users, spatial hypermedia, visually impaired users
Extracting semantic annotations from legal texts BIBAKFull-Text 167-172
  Leonardo Lesmo; Alessandro Mazzei; Daniele P. Radicioni
This paper illustrates a system designed to automatically extract semantic annotations of the normative modifications present in legal texts. The work relies on a deep parsing approach. The problem of semantically annotating legal texts is cast to the problem of mapping parse trees to semantic frames representing such modifications. We report a preliminary experimentation along with the dataset employed, and discuss the results to point out future improvements.
Keywords: automatic information extraction, legal hypertext, semantic tagging

Tracking and exploiting user behavior

What's in a session: tracking individual behavior on the web BIBAKFull-Text 173-182
  Mark Meiss; John Duncan; Bruno Gonçalves; José J. Ramasco; Filippo Menczer
We examine the properties of all HTTP requests generated by a thousand undergraduates over a span of two months. Preserving user identity in the data set allows us to discover novel properties of Web traffic that directly affect models of hypertext navigation. We find that the popularity of Web sites -- the number of users who contribute to their traffic -- lacks any intrinsic mean and may be unbounded. Further, many aspects of the browsing behavior of individual users can be approximated by log-normal distributions even though their aggregate behavior is scale-free. Finally, we show that users' click streams cannot be cleanly segmented into sessions using timeouts, affecting any attempt to model hypertext navigation using statistics of individual sessions. We propose a strictly logical definition of sessions based on browsing activity as revealed by referrer URLs; a user may have several active sessions in their click stream at any one time. We demonstrate that applying a timeout to these logical sessions affects their statistics to a lesser extent than a purely timeout-based mechanism.
Keywords: click stream, navigation, popularity, web session, web traffic
Individual and social behavior in tagging systems BIBAKFull-Text 183-192
  Elizeu Santos-Neto; David Condon; Nazareno Andrade; Adriana Iamnitchi; Matei Ripeanu
In tagging systems users can annotate items of interest with free-form terms. A good understanding of usage characteristics of such systems is necessary to improve the design of current and next generation of tagging systems. To this end, this work explores three aspects of user behavior in CiteULike and Connotea, two systems that include tagging features to support online personalized management of scientific publications. First, this study characterizes the degree to which users re-tag previously published items and reuse tags: 10 to 20% of the daily activity can be characterized as re-tagging and about 75% of the activity as tag reuse. Second, we use the pairwise similarity between users' activity to characterize the interest sharing in the system. We present the interest sharing distribution across the system, show that this metric encodes information about existing usage patterns, and attempt to correlate interest sharing levels to indicators of collaboration such as co-membership in discussion groups and semantic similarity of tag vocabularies. Finally, we show that interest sharing leads to an implicit structure that exhibit a natural segmentation. Throughout the paper we discuss the potential impact of our findings on the design of mechanisms that support tagging systems.
Keywords: interest sharing, random null model, tag reuse, tagging
Games with a purpose for social networking platforms BIBAKFull-Text 193-198
  Walter Rafelsberger; Arno Scharl
The online games market has matured in recent years. It is now a multi-billion dollar business with hundreds of millions players worldwide. At the same time, social networking platforms have witnessed unprecedented growth rates and increasingly offer developer interfaces to leverage and extend their built-in core functionality. Benefiting from these trends, games with a purpose are a proven way of leveraging the wisdom of the crowds to address tasks that are trivial for humans but still not solvable by computer algorithms in a satisfying manner. This paper presents an application framework to develop interactive games with a purpose on top of social networking platforms, suitable for deployment in both mobile and Web-based environments. A set of analytic tools helps to evaluate the results and to pre-process the gathered data for use in external applications.
Keywords: application framework, games with a purpose, sentiment detection, social networking platforms

Social search

Social search and discovery using a unified approach BIBAKFull-Text 199-208
  Einat Amitay; David Carmel; Nadav Har'El; Shila Ofek-Koifman; Aya Soffer; Sivan Yogev; Nadav Golbandi
This research explores new ways to augment the search and discovery of relations between Web 2.0 entities using multiple types and sources of social information. Our goal is to allow the search for all object types such as documents, persons and tags, while retrieving related objects of all types. We implemented a social-search engine using a unified approach, where the search space is expanded to represent heterogeneous information objects that are interrelated by several relation types. Our solution is based on multifaceted search, which provides an efficient update mechanism for relations between objects, as well as efficient search over the heterogeneous data. We describe a social search engine positioned within a large enterprise, applied over social data gathered from several Web 2.0 applications. We conducted a large user study with over 600 people to evaluate the contribution of social data for search. Our results demonstrate the high precision of social search results and confirm the strong relationship of users and tags to the topics retrieved.
Keywords: enterprise search, multifaceted search, social search
Context-based ranking in folksonomies BIBAKFull-Text 209-218
  Fabian Abel; Matteo Baldoni; Cristina Baroglio; Nicola Henze; Daniel Krause; Viviana Patti
With the advent of Web 2.0 tagging became a popular feature. People tag diverse kinds of content, e.g. products at Amazon, music at Last.fm, images at Flickr, etc. Clicking on a tag enables the users to explore related content. In this paper we investigate how such tag-based queries, initialized by the clicking activity, can be enhanced with automatically produced contextual information so that the search result better fits to the actual aims of the user. We introduce the SocialHITS algorithm and present an experiment where we compare different algorithms for ranking users, tags, and resources in a contextualized way.
Keywords: adaptation, context, folksonomies, ranking, search, social media
RichVSM: enRiched vector space models for folksonomies BIBAKFull-Text 219-228
  Rabeeh Abbasi; Steffen Staab
People share millions of resources (photos, bookmarks, videos, etc.) in Folksonomies (like Flickr, Delicious, Youtube, etc.). To access and share resources, they add keywords called tags to the resources. As the tags are freely chosen keywords, it might not be possible for users to tag their resources with all the relevant tags. As a result, many resources lack sufficient number of relevant tags. The lack of relevant tags results into sparseness of data, and this sparseness of data makes many relevant resources unsearchable against user queries.
   In this paper, we explore two dimensions of semantic relationships between tags, based on the context and the distribution of tags. We exploit semantic relationships between tags to reduce sparseness in Folksonomies and propose different enriched vector space models. We also propose a vector space model Best of Breed which utilizes appropriate enrichment method based on the type of the query. We evaluate the proposed methods on a large dataset of 27 million resources, 92 thousand tags and 94 million tag assignments. Experimental results show that the enriched vector space models help in improving search, especially for the rare queries which have few relevant resources in the sparse data.
Keywords: folksonomies, information retrieval, search, smoothing, sparseness reduction, tagging, vector space model, vector space models

Networks properties

Hyperincident connected components of tagging networks BIBAKFull-Text 229-238
  Nicolas Neubauer; Klaus Obermayer
Data created by social bookmarking systems can be described as 3-partite 3-uniform hypergraphs connecting documents, users, and tags (tagging networks), such that the toolbox of complex network analysis can be applied to examine their properties. One of the most basic tools, the analysis of connected components, however cannot be applied meaningfully: Tagging networks tend to be almost entirely connected. We therefore propose a generalization of connected components, m-hyperincident connected components. We show that decomposing tagging networks into 2-hyperincident connected components yields a characteristic component distribution with a salient giant component that can be found across various datasets. This pattern changes if the underlying formation process changes, for example, if the hypergraph is constructed from search logs, or if the tagging data is contaminated by spam: It turns out that the second- to 129th largest components of the spam-labeled Bibsonomy dataset are inhabited exclusively by spam users. Based on these findings, we propose and unsupervised method for spam detection.
Keywords: connected components, spam detection, tagging
Statistical properties of inter-arrival times distribution in social tagging systems BIBAKFull-Text 239-244
  Andrea Capocci; Andrea Baldassarri; Vito D. P. Servedio; Vittorio Loreto
Folksonomies provide a rich source of data to study social patterns taking place on the World Wide Web. Here we study the temporal patterns of users' tagging activity. We show that the statistical properties of inter-arrival times between subsequent tagging events cannot be explained without taking into account correlation in users' behaviors. This shows that social interaction in collaborative tagging communities shapes the evolution of folksonomies. A consensus formation process involving the usage of a small number of tags for a given resources is observed through a numerical and theoretical analysis of some well-known folksonomy datasets.
Keywords: folksonomies, semiotic dynamics, semiotics, small worlds
Modularities for bipartite networks BIBAKFull-Text 245-250
  Tsuyoshi Murata
Real-world relations are often represented as bipartite networks, such as paper-author networks and event-attendee networks. Extracting dense subnetworks (communities) from bipartite networks and evaluating their qualities are practically important research topics. As the attempts for evaluating divisions of bipartite networks, Guimera and Barber propose bipartite modularities. This paper discusses the properties of these bipartite modularities and proposes another bipartite modularity that allows one-to-many correspondence of communities of different vertex types. Preliminary experimental results for the bipartite modularities are also described.
Keywords: bipartite network, community, modularity

Recommendation and clustering

Contextualising tags in collaborative tagging systems BIBAKFull-Text 251-260
  Ching-man Au Yeung; Nicholas Gibbins; Nigel Shadbolt
Collaborative tagging systems are now popular tools for organising and sharing information on the Web. While collaborative tagging offers many advantages over the use of controlled vocabularies, they also suffer from problems such as the existence of polysemous tags. We investigate how the different contexts in which individual tags are used can be revealed automatically without consulting any external resources. We consider several different network representations of tags and documents, and apply a graph clustering algorithm on these networks to obtain groups of tags or documents corresponding to the different meanings of an ambiguous tag. Our experiments show that networks which explicitly take the social context into account are more likely to give a better picture of the semantics of a tag.
Keywords: collaborative tagging, context, folksonomy, semantics
Social recommender systems for web 2.0 folksonomies BIBAKFull-Text 261-270
  Stefan Siersdorfer; Sergej Sizov
The rapidly increasing popularity of Web 2.0 knowledge and content sharing systems and growing amount of shared data make discovering relevant content and finding contacts a difficult enterprize. Typically, folksonomies provide a rich set of structures and social relationships that can be mined for a variety of recommendation purposes. In this paper we propose a formal model to characterize users, items, and annotations in Web 2.0 environments. Our objective is to construct social recommender systems that predict the utility of items, users, or groups based on the multi-dimensional social environment of a given user. Based on this model we introduce recommendation mechanisms for content sharing frameworks. Our comprehensive evaluation shows the viability of our approach and emphasizes the key role of social meta knowledge for constructing effective recommendations in Web 2.0 applications.
Keywords: folksonomy, social media, social recommenders, web 2.0
Cross-tagging for personalized open social networking BIBAKFull-Text 271-278
  Avaré Stewart; Ernesto Diaz-Aviles; Wolfgang Nejdl; Leandro Balby Marinho; Alexandros Nanopoulos; Lars Schmidt-Thieme
The Social Web is successfully established and poised for continued growth. Web 2.0 applications such as blogs, bookmarking, music, photo and video sharing systems are among the most popular; and all of them incorporate a social aspect, i.e., users can easily share information with other users. But due to the diversity of these applications -- serving different aims -- the Social Web is ironically divided. Blog users who write about music for example, could possibly benefit from other users registered in other social systems operating within the same domain, such as a social radio station. Although these sites are two different and disconnected systems, offering distinct services to the users, the fact that domains are compatible could benefit users from both systems with interesting and multi-faceted information. In this paper we propose to automatically establish social links between distinct social systems through cross-tagging, i.e., enriching a social system with the tags of other similar social system(s). Since tags are known for increasing the prediction quality of recommender systems (RS), we propose to quantitatively evaluate the extent to which users can benefit from cross-tagging by measuring the impact of different cross-tagging approaches on tag-aware RS for personalized resource recommendations. We conduct experiments in real world data sets and empirically show the effectiveness of our approaches.
Keywords: recommender systems, social media, web 2.0


Jorn barger, the newspage network and the emergence of the weblog community BIBAKFull-Text 279-288
  Rudolf Ammann
Working from archival sources, this paper aims to reconstruct the emergence at Jorn Barger's initiative of the weblog community from a predecessor known as the NewsPage Network.
Keywords: blog, community, network, news, remediation, weblog
Weblog as a personal thinking space BIBAKFull-Text 289-298
  Lilia Efimova
While weblogs have been conceptualised as personal thinking spaces since their early days, those uses have not been studied in detail. The purpose of this paper is to explore how a weblog can contribute to the process of developing ideas in a long-term complex project. To do so I use autoethnography to reconstruct my personal blogging practices in relation to developing PhD ideas from two perspectives. I first discuss my practices of using a weblog as a personal information management tool and then analyse its uses at different stages in the process of working on a PhD dissertation: dealing with fuzzy insights, sense-making and turning ideas into a dissertation text. The findings illustrate that next to supporting thinking in a way private notebooks do, a weblog might serve similar roles as papers on one's office desk: dealing with emerging insights and difficult to categorise ideas, while at the same time creating opportunities for accidental feedback and impressing those who drop by.
Keywords: autoethnography, electronic notebooks, personal information management, weblogs, writing
Comparing Chinese and German blogs BIBAKFull-Text 299-308
  Thomas Mandl
Blogs in different countries do not only differ in the language of their texts but in many other aspects as well. This study explores how these differences can be identified and related to known cultural differences. A thorough intellectual analysis of several hundreds of blog pages from China and Germany revealed culturally diverse patterns. Chinese blogs are more graphically oriented. They emphasize the communication between bloggers and commentators. Especially, the distinction between high and low context communication in both cultures seems to have a large impact on the blog communication.
Keywords: blogs, culture models, internationalization, social software.

Perspective and point Of view

Designing hypertext tools to facilitate authoring multiple points-of-view stories BIBAKFull-Text 309-316
  Alex Mitchell; Kevin McGee
How can authoring tools help authors create complex, innovative hypertext narrative structures? Tools for creating hypertext fiction typically represent such narratives in the form of nodes and links. However, existing tools are not particularly helpful when an author wants to create a story with a more complex structure, such as a story told from multiple points of view. In this paper, we describe our work to develop HypeDyn, a new hypertext authoring tool that provides alternative representations designed to make it easier to create complex hypertext story structures. As an initial exploration, the tool has been designed to support authoring of interactive, multiple-points-of-view stories. In order to describe the tool, we describe a simplified transformation of Rashomon into a progressively more interactive narrative. Along the way, we identify useful new representations, mechanisms, and visualizations for helping the author. We conclude with some thoughts about the design of interactive storytelling authoring tools in general.
Keywords: authoring tools, hypertext fiction, interactive storytelling, multiform stories, rashomon, representation
Social network analysis in virtual environments BIBAKFull-Text 317-322
  Devan Rosen; Margaret Corbit
Multi-user virtual environments (MUVEs) allow users to navigate and explore the environment as well as interact with other users. The interaction within these environments is often text-based using Internet relay chat (IRC) and related systems. IRC poses a difficulty for researchers looking to analyze and interpret the communicative interaction since data is stored in the form of chatlogs. The current research proposes and applies methodological procedures for the representation and analysis of interaction in MUVEs as social networks. A case study on SciCentr programs from Cornell University is used to elaborate methods and related findings.
Keywords: computer mediated communication, internet relay chat, multi-user virtual environments, social networks, virtual worlds


Managing publications and bookmarks with BibSonomy BIBAKFull-Text 323-324
  Dominik Benz; Folke Eisterlehner; Andreas Hotho; Robert Jäschke; Beate Krause; Gerd Stumme
In this demo we present BibSonomy, a social bookmark and publication sharing system.
Keywords: folksonomy, tagging, tools, web 2.0
Tag vision: social knowledge for collaborative search BIBAKFull-Text 325-326
  Lara Marcellin; Roberto Politi
In this paper we describe a model of social and collaborative search based on the use of tags. First we will introduce the issues that drove us to the definition of this model, analyzing different elements characterizing the web 2.0 paradigm and their effect on traditional search and classification systems. Afterwards we will present TAG Vision, a prototype implementation of the model, developed in order to investigate new approaches for information retrieval.
Keywords: search, social bookmarking, social network, tag co-occurrence, tagging
Incentives for social annotation BIBAKFull-Text 327-328
  Heather Roinestad; John Burgoon; Benjamin Markines; Filippo Menczer
Researchers are exploring the use of folksonomies, such as in social bookmarking systems, to build implicit links between online resources. Users create and reinforce links between resources through applying a common tag to those resources. The effectiveness of using such community-driven annotation depends on user participation to provide the critical information. However, the participation of many users is motivated by selfish reasons. An effective way to encourage these users is to create useful or entertaining applications. We demo two such tools -- a browser extension for bookmark management and navigation and a game.
Keywords: games with a purpose, social tagging
Vcast on facebook: bridging social and similarity networks BIBAKFull-Text 329-330
  Francesca Carmagnola; Andrea Loffredo; Giorgio Berardi
Focusing on Personal Video Recorder, the paper presents an environment to support users in choosing which TV programs register through recommendations based on user-to-user similarity. Recommendations are presented to users in a Facebook application which is double aimed: on the one hand, it allows to collect user's feedback on the recommended items; on the other hand, it allows to define a social network-based users similarity which is exploited to optimize the recommendation process.
Keywords: ad hoc networks, recommender systems, social collaborative filtering
ArsMeteo: artworks and tags floating over the planet art BIBAKFull-Text 331-332
  Edoardo Acotto; Matteo Baldoni; Cristina Baroglio; Viviana Patti; Flavio Portis; Giorgio Vaccarino
In this paper we present ArsMeteo, a Web 2.0 portal for collecting and sharing digital (or digitalized) artworks, like videos, pictures, poems and music. The ArsMeteo contents are enriched with a variety of meanings by the tagging activity of all users of the community, both authors and visitors. In this setting, innovative artistic approaches to tagging and tag-based browsing has been thought in order to create a dynamic and fertile background for artistic experimentation and cooperative artistic creation.
Keywords: digital communities, folksonomies, net art, web 2.0
Sixearch.org 2.0 peer application for collaborative web search BIBAKFull-Text 333-334
  Namrata Lele; Le-Shin Wu; Ruj Akavipat; Filippo Menczer
Sixearch.org is a peer application for social, distributed, adaptive Web search, which integrates the Sixearch.org protocol, a topical crawler, a document indexing system, a retrieval engine, a P2P network communication system, and a contextual learning system. With a single click, the Sixearch.org application will build your personal Web collection. You can search not only your collection, but also other Sixearch peers. When you submit a query, your Sixearch agent will determine which peers are best suited to answer it based on previous interactions. Your agent will also learn from the results it receives, so that it can continuously improve.
Keywords: adaptive query routing, peer collaborative search
To://: towards an open namespace for web resources BIBAKFull-Text 335-336
  Pedro Garcia Lopez; Marc Espelt
In this paper we present an open namespace for web resources under the URI scheme to://. It is a web indirection service that converts URLs-to-URLs (i.e. to:// -> http://) and introduces the novel concept of Web Top Level Domains (wTLDs). Every wTLD like to://hypertext refers to an URL like http://www.ht2009.org and it is possible to resolve subdomains under these wTLDs (to://2008.hypertext, to://proceedings.2008.hypertext).
   The overall architecture is based on browser plugins and web server software using standard protocols like HTTP and XML to resolve domains under the to:// URI scheme. Furthermore, the infrastructure also provides an open search engine over domain names using meta-information like tags or geo-location. We present a running prototype of this system called Socialdns.net hosting more than 2,000 domains.
Keywords: namespaces, top level domains, web naming


A 3D hypermedia with biomedical stereoscopic images: from creation to exploration in virtual reality BIBAKFull-Text 337-338
  Mohammed Haouach; Gilles Venturini; Christiane Guinot
We present in this paper a new method for building and exploring a 3D hypermedia in virtual reality and for a biomedical domain. Starting from the acquisition of stereoscopic images and from the calibration of cameras, our system offers the user the possibility to visualize these images in 3D and to annotate specific areas with texts or voice recording. Then the user may define links between annotations, and each annotation may point to annotations from the same image or from other images. The user thus constructs a 3D hypermedia. He may have a global view of the images database using a graph display. We present a first graph which was built with images of faces.
Keywords: graph of images, interactive exploration, stereoscopic image annotation, virtual reality, visualization
The 2LIP model and its implementations BIBAKFull-Text 339-340
  Jacek Jankowski; Stefan Decker
In this article we present a model for 2-Layer Interface Paradigm (2LIP). 2LIP is an approach for designing simple yet interactive 3D web applications, an attempt to marry advantages of 3D experience with the advantages of the narrative structure of hypertext. The hypertext information, together with graphics, and multimedia, is presented semi-transparently on the foreground layer. It overlays the 3D representation of the information displayed in the background of the interface. We describe implementations of the 2LIP model: 2LIPGarden (HTML context) and Copernicus (wiki context). We want to show that our model can be easily employed to the existing web infrastructure.
Keywords: 2LIP, 2LIPgarden, 3D hypermedia, copernicus
MediaJourney: capturing and sharing digital media from real-world and virtual journeys BIBAKFull-Text 341-342
  Kaspar Rosengreen Nielsen; Rasmus Gude; Marianne Graves Petersen; Kaj Grønbæk
In this poster, we discuss a novel MediaJourney concept and infrastructure with integrated applications for capturing, annotating, and automatically tagging captured media objects during physical journeys as well as virtual journeys on the web or in media collections. The main objective of MediaJourney is to radically reduce overhead in collecting and organizing captured digital media for planned or ad-hoc sharing with family and friends, e.g. in a home setting. This is supported with a mix of automatic tagging and manual selection or keyword tagging of journeys at the time of capture. The idea is to provide automatic and simple mechanisms for structuring while capturing.
Keywords: geo-spatial hypermedia, location-awareness, mobile web, multimedia blogging, ubiquitous link anchors
A user study of mobile web services and applications from the 2008 Beijing Olympics BIBAKFull-Text 343-344
  Alvin Chin; Jyri P. Salomaa
This paper describes a business user study using a packaged suite of mobile Web services and applications deployed at a real-time event, the Beijing Olympic Games in August 2008. These applications were an Olympics guide, menu reader, phrasebook, Sports Tracker [3], photo sharing on Ovi [4], and Nokia Maps [2]. To evaluate its feasibility and use, we used logging, surveys, and statistical analysis for collecting and analyzing the data. We discovered that guests found the Olympics guide application to be the most popular, followed by Nokia Maps and then photo sharing on Ovi. The results demonstrate that the techniques used in our evaluation can be used to determine the type of applications that are relevant to consumers at a real-time event, and suggests ways for improving the mobile application design and user experience.
Keywords: mobile design, mobile interface, mobile web application, usage, user experience, user study
Personalized web browsing experience BIBAKFull-Text 345-346
  Barbara Rita Barricelli; Marco Padula; Paolo Luigi Scala
In this paper we propose a Web-based software system that allows the realization of a highly personalized Web browsing experience. The system is based on two relevant elements: the Intelligent Agent and the pCard document. The Intelligent Agent analyzes the Web sites visited by the users collecting information useful to her/his characterization and crosses such information with the personal preferences expressed by the user her/himself. The user profile is stored in a document written in pCard format that we have defined as an evolution of the vCard format.
Keywords: intelligent agent, localization, pCard, personalization, user experience, web browsing
A scalable, collaborative similarity measure for social annotation systems BIBAKFull-Text 347-348
  Benjamin Markines; Filippo Menczer
Collaborative annotation tools are in widespread use. The metadata from these systems can be mined to induce semantic relationships among Web objects (sites, pages, tags, concepts, users), which in turn can support improved search, recommendation, and other Web applications. We build upon prior work by extracting relationships among tags and among resources from two social bookmarking systems, Bibsonomy.org and GiveALink.org. We introduce a scalable and collaborative measure that we name maximum information path (MIP) similarity. Our analysis shows that MIP outperforms the best scalable similarity measures in the literature. We are currently integrating MIP similarity into a number of applications under development in the GiveALink project, including search and recommendation, Web navigation maps, bookmark management, social networks, spam detection, and a tagging game to create incentives for collaborative annotations.
Keywords: folksonomy, maximum information path, tags, urls, web 2.0
Modeling and predicting group activity over time in online social media BIBAKFull-Text 349-350
  Munmun De Choudhury
This paper develops a probabilistic framework that can model and predict group activity over time on online social media. Users of social media sites such as Flickr often face the enormous challenge of which group to choose, due to the presence of numerous competing groups of similar content. Determining an empirical measure of significance of a group can help tackle this problem. The proposed framework therefore determines an optimal measure per group based on past user participation and interaction as well as likely future activity in the group. The framework is tested on a Flickr dataset and the results show that this method can yield satisfactory predictions of group activity. This implies that the computed measure of significance of a group can be used by end users to choose groups with rich activity.
Keywords: Flickr, social media, social networks
Retrieving broken web links using an approach based on contextual information BIBAKFull-Text 351-352
  Juan Martinez-Romo; Lourdes Araujo
In this short note we present a recommendation system for automatic retrieval of broken Web links using an approach based on contextual information. We extract information from the context of a link such as the anchor text, the content of the page containing the link, and a combination of the cache page in some search engine and web archive, if it exists. Then the selected information is processed and submitted to a search engine. We propose an algorithm based on information retrieval techniques to select the most relevant information and to rank the candidate pages provided for the search engine, in order to help the user to find the best replacement. To test the different methods, we have also defined a methodology which does not require the user judgements, what increases the objectivity of the results.
Keywords: broken links, information retrieval, link integrity, recommender system
A cost-benefit evaluation method for web-based information systems BIBAKFull-Text 353-354
  Cecile L. Paris; Nathalie F. Colineau; Ross G. Wilkinson
Most evaluations of web-based information systems are done with respect to their effectiveness in supporting users in finding and exploring the information they need. We believe (1) that we need to move beyond task effectiveness and look at the whole-of-system effectiveness, and (2) that we must balance benefits with costs. We propose a method that provides guidance in whole-of-system evaluations, explicitly considering all participants and both sides of the "bang for buck" equation.
Keywords: cost-benefit analysis, evaluation, human information processing, methodology, user/machine systems, web-based information systems, web-based interaction
Automatically annotating textual resources with human intentions BIBAKFull-Text 355-356
  Markus Strohmaier; Mark Kroell; Christian Koerner
Annotations represent an increasingly popular means for organizing, categorizing and finding resources on the "social" web. Yet, only a small portion of the total resources available on the web are annotated. In this paper, we describe a prototype -- iTAG -- for automatically annotating textual resources with human intent, a novel dimension of tagging. We investigate the extent to which the automatic analysis of human intentions in textual resources is feasible. To address this question, we present selected evidence from a study aiming to automatically annotate intent in a simplified setting, that is transcripts of speeches given by US presidential candidates in 2008.
Keywords: automatic tag generation, folksonomies, human intentions
When printed hypertexts go digital: information extraction from the parsing of indices BIBAKFull-Text 357-358
  Matteo Romanello; Monica Berti; Alison Babeu; Gregory Crane
Modern critical editions of ancient works generally include manually created indices of other sources quoted in the text. Since indices can be considered as a form of domain specific language, the paper presents a parsing-based approach to the problem of extracting information from them to support the creation of a collection of fragmentary texts. This paper first considers the characteristics and structure of quotation indices and their importance when dealing with fragmentary texts. It then presents the results of applying a fuzzy parser to the OCR transcription of an index of quotations to extract information from potentially noisy input.
Keywords: indices, information extraction, parsing, printed hypertexts
The role of tag suggestions in folksonomies BIBAKFull-Text 359-360
  Dirk Bollen; Harry Halpin
Most tagging systems support the user in the tag selection process by providing tag suggestions, or recommendations, based on a popularity measurement of tags other users provided when tagging the same resource. The majority of theories and mathematical models of tagging found in the literature assume that the emergence of power laws in tagging systems is mainly driven by the imitation behavior of users when observing tag suggestions provided by the user interface of the tagging system. We present experimental results that show that the power law distribution forms regardless of whether or not tag suggestions are presented to the users.
Keywords: power laws, tag suggestions, tagging
Four measures for the dynamics of coalitions in social networks BIBAKFull-Text 361-362
  Guido Boella; Leendert van der Torre; Serena Villata
We introduce four measures for the change of coalitions in social networks. The first one measures the change of the agents in the network over time, The second one measures the change of dependencies among the agents, due to addition or removal of powers and goals of the agents. The third one measures the change in normative dependencies like obligations and prohibitions introduced by norms. The fourth one measures changes in coalitions. If one of the first three measures is high, then the fourth measure is probably high too, if the change in agents and dependencies is a cause for a change in coalitions. If the first three measures are low, but the change in coalitions is high, it is due to internal processes like violations of the coalition agreements.
Keywords: measures, requirements engineering, social dependence networks
The redocumentation process of computer mediated activity traces: a general framework BIBAKFull-Text 363-364
  Leila Yahiaoui; Yannick Prié; Zizette Boufaida
The digital world enables the creation of personalized documents. In this paper we are interested in describing a computer mediated activity by a person throughout a semi-automatic redocumentation process. This process uses traces generated automatically, during a user-system interaction, to assist a person in producing a personalized document describing the traced activity. To support that, a general framework for an authoring tool is proposed through two main phases. During the first phase, an automatic and parameterized transformation is applied on the input activity trace to generate a fragmented document. Each fragment describes one or many observed elements of the modeled trace and relations between fragments are deduced from relations between these elements. The second phase consists in interactive transformations on the intermediate produced document until getting the final hypermedia document. Our authoring tool uses composition of personalized document issues and RST principals to interpret user's choices and to maintain the coherence of the produced document.
Keywords: RST, activity trace, computer mediated activity, hypermedia, personalized document generation, redocumentation process
WebNC: efficient sharing of web applications BIBAKFull-Text 365-366
  Laurent Denoue; John Adcock; Scott Carter; Gene Golovchinsky
WebNC is a system for efficiently sharing, retrieving and viewing web applications. Unlike existing screencasting and screensharing tools, WebNC is optimized to work with web pages where a lot of scrolling happens. WebNC uses a tile-based encoding to capture, transmit and deliver web applications, and relies only on dynamic HTML and JavaScript. The resulting webcasts require very little bandwidth and are viewable on any modern web browser including Firefox and Internet Explorer as well as browsers on the iPhone and Android platforms.
Keywords: co-browsing, real-time collaboration, web application sharing, web navigation
Semiotic design and analysis of hypermedia BIBAKFull-Text 367-368
  Elio Toppano; Vito Roberto
The paper proposes a semiotic framework inspired to the Generative Trajectory of Meaning by A.J. Greimas to the design and analysis of hypermedia. The framework is structured into four levels of signification and allows the designer to control the semantic coherence and optimize the communication during the hypermedia development. We investigate its practical feasibility by constructing an instructional hypermedia regarding a collection of ancient mosaics from a roman villa. Our results indicate that the proposed approach opens novel perspectives, and looks promising towards the definition of semiotic methodologies of hypermedia design.
Keywords: design, hypermedia, semiotics
How are web characteristics evolving? BIBAKFull-Text 369-370
  João Miranda; Daniel Gomes
The Web is a hypertextual environment in permanent evolution. There are new technologies and Web publishing behaviors emerging everyday. This study presents trends on the evolution of the Web, derived from the comparison of two characterizations of a web portion performed within a 5 year interval. The Portuguese Web was used as a case study. Several metrics regarding content and site characteristics were analyzed.
Keywords: web characterization, web measurements, web trends
User model on a key BIBAKFull-Text 371-372
  Tsvi Kuflik; Katerina Poteriaykina
Provision of personalized services to users requires accurate modeling of their interests and needs. However, such information may not be available to the service provider. Previously suggested solutions, such as user modeling servers and user modeling mediation demonstrate technological possible solution to the problem. However, at the same time they introduce privacy problem. This paper proposes a general framework for enhancing the privacy of user modeling in personalization systems by keeping the user "in control" of his/her personal information. The UM on a Key that combined a user modeling server and mediation mechanism will allow the user to explicitly select what information to disclose to service provider and to do that at the right format.
Keywords: user modeling
Named entities for hot topics ranking and ontology navigation aid BIBAKFull-Text 373-374
  Mírian Bruckschen; Renata Vieira; Sandro Rigo
This paper presents an application which relies on Natural Language Processing techniques to identify hot topics in a news portal. Named Entity Recognition, semantic tagging and identity identification are used to acquire knowledge of the domain, generate ontologies automatically and rank hot topics for the news in the portal.
Keywords: hot topics, natural language processing, navigation aid, semantic tagging, web2.0
iDYNamicTV: a social adaptive television experience BIBAKFull-Text 375-376
  Francesca Carmagnola; Federica Cena; Luca Console; Pierluigi Grillo; Fabiana Vernero; Rossana Simeoni; Monica Perrero
The paper presents an approach to merge Web 2.0 and adaptation with TV contents in order to enrich the user experience. We present iDYNamicTV, a social Web-based recommender system dealing with multimedia contents. iDYNamicTV is part of a larger project by Telecom Italia (DynamicTV) for enhancing user experience in TV fruition. The goal of iDynamicTV is to provide facilities to entertain when exploring and discovering media contents on the Web using a computer interface.
Keywords: adaptation, interactive television, social applications, web 2.0
Use noisy link analysis to improve web search BIBAKFull-Text 377-378
  Yitong Wang; Jingbo Chu
Link-based ranking algorithm is very important for current success and popular of Web Search Engine. In order to get high rank, some try to improve contents of web pages while others just put dirty tricks, such as link spam. Link spam is a trick targeting at link-based ranking algorithms by artificially created tight link structures to push some target pages get undeserved high ranks. This problem becomes even worse with the advent of wikis, blogs, forums, which are rich in links. We tackle the problem of improving link-based ranking by more fundamental viewpoint -- "noisy link" analysis. Motivated by how "non-voting" hyperlinks affect quality of ranking, we propose an approach and corresponding penalty strategies to both detect and handle "noisy link" effectively and automatically. We also compared our approach with other related works to demonstrate that our approach is rather effective in noisy link filtering and could improve the final search results significantly.
Keywords: link penalty, link-based ranking, noisy link, pagerank
Introducing online reading BIBAKFull-Text 379-380
  Fernanda Bonacho
In this paper, we develop a discussion about possible profiles of the reader online according to the perception of a new sensitive experience of reading. The experience of reading in front of a computer is already part of our daily routine but still far from a clear standing. Focusing our attention on the reader allows us to embrace a curious challenge that most of us already live on the level of senses (Erlebnis), and only some are able to make it an experience in life (Erfahrung).
Keywords: hypermedia, hypertext, online reading, perception, reception
ZEXE.NET, a case study of video-moblog BIBAKFull-Text 381-382
  Tatiana Mazali
The information and communication technology system is constantly creating new scenarios, but can still recognise a tendency in them: the blurring of the limits between consumers and producers and the passage from interactivity to participation (web 2.0). In this emerging cultural context, that is constantly redefined and remediated by individual and personalized forms of elaboration, it is important to understand the way in which every single person or group leads his/her own way towards re-appropriation of the technological realm.
   My contribution aims to explore potential and real capacities of these new technologies to generate a creative use among individuals or collectivities. For this reason, I'll analyse a case study, the mobile-blog communities in ZEXE.NET project.
   The aim of my contribution is to draw a portrait, to give a picture, of this social platform built by the artist Antoni Abad.
Keywords: moblog, participatory culture, social media, web-art 2.0
Hypermedia as media BIBAKFull-Text 383-384
  Everardo Reyes-García
Hypermedia community has been concerned with systems development, navigational models, and most recently, social implications of networks. As a result, it is possible to distinguish conventions of human-computer interaction, visual styles to interact and represent information, and participatory schemes of social behavior. These transformations allow for observing media in different manners. In this paper, we introduce the idea that hypermedia is not a medium because of its possibilities of linking, combining, and fragmenting several media. Hypermedia is a medium because it introduces new ways for creating media and transforming the communicative process.
Keywords: hypermedia theory, media theory, software studies


Web 3.0: merging semantic web with social web BIBKFull-Text 385-386
  Federica Cena; Rosta Farzan; Pasquale Lops
Keywords: intelligent web, semantic web, social applications, web 2.0, web 3.0
Dynamic and adaptive hypertext: generic frameworks, approaches and techniques BIBKFull-Text 387-388
  Paul De Bra; Mykola Pechenizkiy
Keywords: adaptation, authoring, dynamic hypertext
New forms of Xanalogical storage and function BIBKFull-Text 389-390
  Fabio Vitali; Angelo Di Iorio; James Blustein
Keywords: Wikis, blogs, mashups, project xanadu, storage solutions, transclusion
Tagging dynamics in online communities BIBKFull-Text 391-392
  Vittorio Loreto; Andrea Capocci
Keywords: semiotics, tagging