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New Review of Hypermedia and Multimedia 19

Editors:Douglas Tudhope; Daniel Cunliffe
Publisher:Taylor & Francis
Standard No:ISSN 1361-4568 (print); ISSN 1740-7842 (online)
Links:Table of Contents
  1. HYPERMM 2013-03-01 Volume 19 Issue 1
  2. HYPERMM 2013-06-01 Volume 19 Issue 2
  3. HYPERMM 2013-12-01 Volume 19 Issue 3/4

HYPERMM 2013-03-01 Volume 19 Issue 1

Editors' Introduction BIBFull-Text 1-2
  Daniel Cunliffe; Douglas Tudhope
Feature -- opinion pair identification of product reviews in Chinese: a domain ontology modeling method BIBAFull-Text 3-24
  Pei Yin; Hongwei Wang; Kaiqiang Guo
With the emergence of the new economy based on social media, a great amount of consumer feedback on particular products are conveyed through wide-spreading product online reviews, making opinion mining a growing interest for both academia and industry. According to the characteristic mode of expression in Chinese, this research proposes an ontology-based linguistic model to identify the basic appraisal expression in Chinese product reviews -- "feature-opinion pair (FOP)." The product-oriented domain ontology is constructed automatically at first, then algorithms to identify FOP are designed by mapping product features and opinions to the conceptual space of the domain ontology, and finally comparative experiments are conducted to evaluate the model. Experimental results indicate that the performance of the proposed approach in this paper is efficient in obtaining a more accurate result compared to the state-of-art algorithms. Furthermore, through identifying and analyzing FOPs, the unstructured product reviews are converted into structured and machine-sensible expression, which provides valuable information for business application. This paper contributes to the related research in opinion mining by developing a solid foundation for further sentiment analysis at a fine-grained level and proposing a general way for automatic ontology construction.
A personalized semantic portal for enhanced user support BIBAFull-Text 25-60
  M. Sah; W. Hall
Although many advances have been made in semantic portal research, often links to relevant pages are not shown and the same content/links are presented to users that have different background and interests. This paper introduces a novel semantic portal, SEMPort, to support the browsing of users based on personalization and enriched semantic hyperlinks. Our semantic portal makes a novel contribution by integrating adaptive hypermedia methods and enriched semantic hyperlinks into semantic portal technologies to provide better navigation. SEMPort supports different personalization such as adaptive link sorting and adaptive link annotation based on interests of individual users. Enriched semantic links are also supplied to guide users to relevant pages. In addition, easy-to-use and real-time content maintenance mechanisms are provided, which is important for the evolution of the content. Evaluations carried out to assess the semantic portal include performance evaluations, interface usability using Nielsen's heuristics and empirical user studies. This paper also provides an overview and comparison to the state-of-the-art as well as outlining future directions for semantic portals.
Designing online audiovisual heritage services: an empirical study of two comparable online video services BIBAFull-Text 61-79
  G. Ongena; L. A. L. van de Wijngaert; E. Huizer
The purpose of this study is to seek input for a new online audiovisual heritage service. In doing so, we assess comparable online video services to gain insights into the motivations and perceptual innovation characteristics of the video services. The research is based on data from a Dutch survey held among 1,939 online video service users. The results show that online video service held overlapping antecedents but does show differences in motivations and in perceived innovation characteristics. Hence, in general, one can state that in comparison, online video services comply with different needs and have differences in perceived innovation characteristics. This implies that one can design online video services for different needs. In addition to scientific implications, the outcomes also provide guidance for practitioners in implementing new online video services.

HYPERMM 2013-06-01 Volume 19 Issue 2

Adaptive Hypermedia

Introduction to the Special Issue on Adaptive Hypermedia BIBFull-Text 81-83
  Paul De Bra; Jill Freyne; Shlomo Berkovsky
Evolutionary authoring tool for adaptive hypermedia with multimodal navigation BIBAFull-Text 84-111
  Nuria Medina-Medina; Fernando Molina-Ortiz; Natalia Padilla-Zea; Marcelino Cabrera-Cuevas; Lina García-Cabrera; José Parets-Llorca
This paper discusses the importance of user adaptation and software evolution in hypermedia applications, and reviews some of the most relevant approaches to both fields. The paper describes a model that has been conceived for the development, maintenance and navigation of adaptive hypermedia systems. This model, called SEMantic, systemic and evolutionary model to develop HyPermedia systems (SEM-HP), includes an incremental design process, a layered architecture and an authoring tool integrated with a navigation tool. SEM-HP architecture is composed of four subsystems, which allow the separation of aspects related to knowledge representation, presentation, navigation and user adaptation. In addition, SEM-HP has a higher layer, which acts as a meta-system and allows a consistent evolution of the elements defined in each of the four subsystems, as well as their automatic co-evolution. Regarding user interaction, four alternative ways of navigating hypermedia information are supported. Finally, the paper shows the main results of two case studies carried out with the authoring and navigation tool, JSEM-HP, at the University of Granada, Spain.
Progressor: social navigation support through open social student modeling BIBAFull-Text 112-131
  I-Han Hsiao; Fedor Bakalov; Peter Brusilovsky; Birgitta König-Ries
The increased volumes of online learning content have produced two problems: how to help students to find the most appropriate resources and how to engage them in using these resources. Personalized and social learning have been suggested as potential ways to address these problems. Our work presented in this paper combines the ideas of personalized and social learning in the context of educational hypermedia. We introduce Progressor, an innovative Web-based tool based on the concepts of social navigation and open student modeling that helps students to find the most relevant resources in a large collection of parameterized self-assessment questions on Java programming. We have evaluated Progressor in a semester-long classroom study, the results of which are presented in this paper. The study confirmed the impact of personalized social navigation support provided by the system in the target context. The interface encouraged students to explore more topics attempting more questions and achieving higher success rates in answering them. A deeper analysis of the social navigation support mechanism revealed that the top students successfully led the way to discovering most relevant resources by creating clear pathways for weaker students.
The narrative approach to personalisation BIBAFull-Text 132-157
  Owen Conlan; Athanasios Staikopoulos; Cormac Hampson; Séamus Lawless; Ian O'Keeffe
This article describes the narrative approach to personalisation. This novel approach to the generation of personalised adaptive hypermedia experiences employs runtime reconciliation between a personalisation strategy and a number of contextual models (e.g. user and domain). The approach also advocates the late binding of suitable content and services to the generated personalised pathway resulting in an interactive composition that comprises services as well as content. This article provides a detailed definition of the narrative approach to personalisation and showcases the approach through the examination of two use-cases: the personalised digital educational games developed by the ELEKTRA and 80Days projects; and the personalised learning activities realised as part of the AMAS project. These use-cases highlight the general applicability of the narrative approach and how it has been applied to create a diverse range of real-world systems.
Automatically producing tailored web materials for public administration BIBAFull-Text 158-181
  Nathalie Colineau; Cécile Paris; Keith Vander Linden
Public administration organizations commonly produce citizen-focused, informational materials describing public programs and the conditions under which citizens or citizen groups are eligible for these programs. The organizations write these materials for generic audiences because of the excessive human resource costs that would be required to produce personalized materials for everyone. Unfortunately, generic materials tend to be longer and harder to understand than materials tailored for particular citizens. Our work explores the feasibility and effectiveness of automatically producing tailored materials. We have developed an adaptive hypermedia application system that automatically produces tailored informational materials and have evaluated it in a series of studies. The studies demonstrate that: (1) subjects prefer tailored materials over generic materials, even if the tailoring requires answering a set of demographic questions first; (2) tailored materials are more effective at supporting subjects in their task of learning about public programs; and (3) the time required to specify the demographic information on which the tailoring is based does not significantly slow down the subjects in their information seeking task.
GALE: a generic open source extensible adaptation engine BIBAFull-Text 182-212
  Paul De Bra; Evgeny Knutov; David Smits; Natalia Stash; Vinicius F. C. Ramos
This paper motivates and describes GALE, the Generic Adaptation Language and Engine that came out of the GRAPPLE EU FP7 project. The main focus of the paper is the extensible nature of GALE. The purpose of this description is to illustrate how a single core adaptation engine can be used for different types of adaptation, applied to different types of information items and documents. We illustrate the adaptive functionality on some examples of hypermedia documents. In April 2012, David Smits defended the world's first adaptive PhD thesis on this topic. The thesis, available for download and direct adaptive access at http://gale.win.tue.nl/thesis/, shows that a single source of information can serve different audiences and at the same time also allows more freedom of navigation than is possible in any paper or static hypermedia document. The same can be done for course texts, hyperfiction, encyclopedia, museum, or other cultural heritage websites, etc. We explain how to add functionality to GALE if desired, to adapt the system's behavior to whatever the application requires. This stresses our main objective: to provide a technological base for adaptive (hypermedia) system researchers on which they can build extensions for the specific research they have in mind.

HYPERMM 2013-12-01 Volume 19 Issue 3/4

Advances in the Convergence of Multimedia, Communications, and Social Web Technology

Introduction to the special issue on advances in the convergence of multimedia, communications, and social web technology BIBFull-Text 213-216
  Seungmin Rho; Wenny Rahayu; Uyen Trang Nguyen
Guaranteeing QoS of media-based applications in virtualized environment BIBAFull-Text 217-233
  Like Zhou; Song Wu; Xuanhua Shi; Hai Jin; Jiangfu Zhou
With the rapid development of web technology and smart phone, multimedia contents spread all over the Internet. The prevalence of virtualization technology enables multimedia service providers to run media servers in virtualized servers or rented virtual machines (VMs) in a cloud environment. Although server consolidation using virtualization can substantially increase the efficient use of server resources, it introduces resources competition among VMs running different applications. Recently, hypervisors do not make any Quality of Service (QoS) guarantee for media-based applications if they are consolidated with other network-intensive applications, which leads to significant performance degradation. For example, Xen only offers a static method to allocate network bandwidth. In this paper, we find that the performance of media-based applications running in VMs degrades seriously when they are consolidated with other VMs running network-intensive applications and argues that dynamic network bandwidth allocation is essential to guarantee the QoS of media-based applications. Then, we present a dynamic network bandwidth allocation system in virtualized environment, which allocates network bandwidth dynamically and effectively, and does not interrupt running services in VMs. The experiments show that our system can not only guarantee the QoS of media-based applications well but also maximize the system's the overall performance while ensuring the QoS of media-based applications.
Reversible data hiding employing histogram shifting using a rotated even -- odd difference image BIBAFull-Text 234-247
  Sang-Kwang Lee; Hyang-Mi Yoo; Jae-Won Suh
Reversible data hiding, a technique that can recover an undistorted original image from a watermarked one, has drawn considerable attention in recent years. However, most of the current reversible data-hiding algorithms based on histogram modification have underflow and overflow problems with regard to the watermarked image. In order to overcome these problems in the proposed algorithm, we implement a location map that indicates the positions of the underflow and overflow problems and include the compressed location map in the hidden data. In addition, the proposed algorithm allows multi-level data hiding in order to increase the data-hiding capacity. The simulation results demonstrate that the proposed algorithm generates a superior performance in the peak signal to noise ratio (PSNR) values and the embedding capacity.
Highly reliable state monitoring system for induction motors using dominant features in a two-dimension vibration signal BIBAFull-Text 248-258
  Dinh Nguyen; Myeongsu Kang; Cheol-Hong Kim; Jong-Myon Kim
In this paper, we propose a highly reliable state monitoring system for induction motors. The proposed system utilizes vibration signals to analyze characteristics of the induction motor and extract features for classifying abnormal states from normal ones. To extract the features of faulty and healthy signals, we first convert one-dimension vibration signals into two-dimension gray images to utilize the relationship between each element and its neighboring elements, and we calculate the number of significant pixels in these converted images. We then use multiclass support vector machines to distinguish between abnormal data and normal data. The experimental results indicate that the proposed state monitoring system achieves 100% classification accuracy. In addition, we explore the effects of the noise components inherent in the vibration signals by adding white Gaussian noise to the vibration signals to obtain signal-to-noise ratios (SNRs) of 10 dB, 15 dB, 20 dB, 30 dB, and 40 dB, respectively. The experimental results show that the proposed approach continues to achieve 100% classification accuracy in noisy environments with SNRs of at least 15 dB. Furthermore, the experimental results show that the proposed approach outperforms a conventional state-of-the-art algorithm in both noisy and noiseless environments.
A user opinion and metadata mining scheme for predicting box office performance of movies in the social network environment BIBAFull-Text 259-272
  Daehoon Kim; Daeyong Kim; Eenjun Hwang; Hong-Gu Choi
With the rapid proliferation of social network services (SNS), it has become common for people to express their thoughts or opinions on various subjects, such as political events, movies, or commercial products, using short comments. Though the comments reflect personal opinion or preferences, collectively, these represent public opinion or trends. Mining public opinion or trends from a collection of user comments made on SNS could be very useful for many applications. One interesting application is to predict the box office performance of a new movie from user comments made on the movie's trailer. Such a prediction is, nevertheless, a very complicated task because many factors can have an influence on it. In this paper, we propose a scheme for mining public opinion from a collection of user comments, easily available on social networks, on the trailer of a new movie. Next, we predict whether the movie will be a box office hit, based on public opinion and other properties such as the leading actors, director, and their past works. Through various experiments, we show that our scheme can produce satisfactory results.
Adaptive layer selection technique for low-power scalable video coding (SVC) system BIBAFull-Text 273-285
  Gwang-Soo Hong; Byung-Gyu Kim; Jeong-Bae Lee
A scalable video coding (SVC) encoding server can usually provide a single bitstream with a fixed maximum service layer to different kinds of devices having different resource requirements, capacities, and performance levels. As mobile communication technology rapidly develops, multiple channels have become available to single-user devices. We propose a new adaptive layer selection algorithm to cope with variations in available channel connections, and to provide maximized video streaming quality in terms of the consumed power (complexity) of the encoding server. To achieve this, the initial negotiation strategy of the connected device is designed based on performance (decoding and rendering). With an initial connection, the proposed SVC encoder changes the proper maximum layers according to the connection status of multiple channels. Experimental results verify that the proposed scheme is effective in terms of the consumed power (complexity) and memory usage of the encoding server.
A local adaptive image descriptor BIBAFull-Text 286-298
  S. M. Zahid Ishraque; Mohammad Shoyaib; M. Abdullah-Al-Wadud; Md Monirul Hoque; Oksam Chae
The local binary pattern (LBP) is a robust but computationally simple approach in texture analysis. However, LBP performs poorly in the presence of noise and large illumination variation. Thus, a local adaptive image descriptor termed as LAID is introduced in this proposal. It is a ternary pattern and is able to generate persistent codes to represent microtextures in a given image, especially in noisy conditions. It can also generate stable texture codes if the pixel intensities change abruptly due to the illumination changes. Experimental results also show the superiority of the proposed method over other state-of-the-art methods.
Data modeling and query processing for distributed surveillance systems BIBAFull-Text 299-327
  Yunyoung Nam; Sangjin Hong; Seungmin Rho
This paper presents data modeling and query processing for distributed surveillance systems. We define a metadata rule to search and manage information for distributed or heterogeneous surveillance systems. For human activity recognition, we propose a method that classifies these actions separately from complicated activities as a sequence of basic activities. In addition, we define the domain and range of relations based on the relationship between elements. Furthermore, we describe the state descriptors to represent an image sequence. To address the interaction of multiple objects, we classify human actions into symmetric or asymmetric actions. The prior motion model and the inference approach are applied adaptively according to environments. We define the grammar for the representation of the surveillance video and specify different query criteria for surveillance video retrieval. In the experiments, we show the prototype system that provides event detection, object identification, object tracking, face recognition, and activity recognition.