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New Review of Hypermedia and Multimedia 12

Editors:Douglas Tudhope
Publisher:Taylor & Francis
Standard No:ISSN 1361-4568 (print); ISSN 1740-7842 (online)
Links:Table of Contents
  1. HYPERMM 2006 Volume 12 Issue 1
  2. HYPERMM 2006 Volume 12 Issue 2

HYPERMM 2006 Volume 12 Issue 1

Opening Remarks BIBFull-Text 1
Introduction to Knowledge Organization Systems and Services BIBFull-Text 3-9
  Douglas Tudhope; Marianne Lykke Nielsen
Automated subject classification of textual Web pages, based on a controlled vocabulary: Challenges and recommendations BIBAFull-Text 11-27
  Koraljka Golub
The primary objective of this study was to identify and address problems of applying a controlled vocabulary in automated subject classification of textual Web pages, in the area of engineering. Web pages have special characteristics such as structural information, but are at the same time rather heterogeneous. The classification approach used comprises string-to-string matching between words in a term list extracted from the Ei (Engineering Information) thesaurus and classification scheme, and words in the text to be classified. Based on a sample of 70 Web pages, a number of problems with the term list are identified. Reasons for those problems are discussed and improvements proposed. Methods for implementing the improvements are also specified, suggesting further research.
Language technology in knowledge-organization systems BIBAFull-Text 29-49
  Costanza Navarretta; Bolette Sandford Pedersen; Dorte Haltrup Hansen
This paper describes the language technology methods developed in the Danish research project VID to extract from Danish text material relevant information for the population of knowledge organization systems (KOS) within specific corporate domains. The results achieved by applying these methods to a prototype search engine tuned to the patent and trademark domain indicate that the use of human language technology can support the construction of a linguistically based KOS and that linguistic information in search improves recall substantially without harming precision (near 90%). Finally, we describe two research experiments where (1) linguistic analysis of Danish compounds and is exploited to improve search strategies on these (2) linguistic knowledge is used to model corporate knowledge into a language-based ontology.
Mapping AGROVOC and the Chinese Agricultural Thesaurus: Definitions, tools, procedures BIBAFull-Text 51-62
  A. C. Liang; M. Sini
This paper describes the procedures for a concept-based mapping of two agricultural thesauri, the multilingual AGROVOC, created and maintained by the Food and Agricultural Organization, and the bilingual Chinese Agricultural Thesaurus, created and maintained by the Chinese Academy of Agricultural Science. Conducted under the auspices of FAO's Agricultural Ontology Service, the mapping project aims to extend AGROVOC with an additional set of perspectives on the agricultural domains, enrich its domain and language coverage, and make use of AGROVOC as a common data model for data exchange among a wide range of multilingual repositories within agriculture.
Freely faceted classification for Web-based information retrieval BIBAFull-Text 63-81
  Claudio Gnoli; Hong Mei
In free classification, each concept is expressed by a constant notation, and classmarks are formed by free combinations of them, allowing the retrieval of records from a database by searching any of the component concepts. A refinement of free classification is freely faceted classification, where notation can include facets, expressing the kind of relations held between the concepts. The Integrative Level Classification project aims at testing free and freely faceted classification by applying them to small bibliographical samples in various domains. A sample, called the Dandelion Bibliography of Facet Analysis, is described here. Experience was gained using this system to classify 300 specialized papers dealing with facet analysis itself recorded on a MySQL database and building a Web interface exploiting freely faceted notation. The interface is written in PHP and uses string functions to process the queries and to yield relevant results selected and ordered according to the principles of integrative levels.
Exploring the potential for social tagging and folksonomy in art museums: Proof of concept BIBAFull-Text 83-105
  J. Trant; With The Participants In The Steve.Museum Project
Documentation of art museum collections has been traditionally written by and for art historians. To make art museum collections broadly accessible, and to enable art museums to engage their communities, means of access need to reflect the perspectives of other groups and communities. Social Tagging (the collective assignment of keywords to resources) and its resulting Folksonomy (the assemblage of concepts expressed in such a cooperatively developed system of classification) offer ways for art museums to engage with their communities and to understand what users of online museum collections see as important. Proof of Concept studies at The Metropolitan Museum of Art compared terms assigned by trained cataloguers and untrained cataloguers to existing museum documentation, and explored the potential for social tagging to improve access to museum collections. These preliminary studies, the results of which are reported here, have shown the potential of social tagging and folksonomy to open museum collections to new, more personal meanings. Untrained cataloguers identified content elements not described in formal museum documentation. Results from these tests -- the first in the domain -- provided validation for exploring social tagging and folksonomy as an access strategy within The Metropolitan Museum, motivation to proceed with a broader inter-institutional collaboration, and input into the development of a multi-institutional collaboration exploring tagging in art museums. Tags assigned by users might help bridge the semantic gap between the professional discourse of the curator and the popular language of the museum visitor. The steve collaboration (http://www.steve.museum) is building on these early studies to develop shared tools and research methods that enable social tagging of art museum collections and explore the utility of folksonomy for providing enhanced access to collections.

HYPERMM 2006 Volume 12 Issue 2

Opening remarks BIBFull-Text 107
Introduction to the special issue on structural computing BIBFull-Text 109-112
  Peter J. Nürnberg
Designing domain-specific behaviours in structural computing BIBAFull-Text 113-142
  Manolis Tzagarakis; Michail Vaitis; Nikos Karousos
Developing domain-specific abstractions in hypermedia is a complex task. Part of this complexity is due to the fact that behavioural aspects of structures need to be addressed. Therefore, hypermedia systems must provide the necessary means that permit the specification of these aspects. This is in particular true for structural computing systems which attempt to provide the framework for supporting a broad range of different data-organization problems. Current structural computing systems provide only limited support for developing behaviours in structures, mainly by specifying methods for objects that represent structure elements (structural atoms). In this paper, we present how behavioural aspects of structures are developed in Callimachus, a structural computing environment. Callimachus attempts to raise the level of abstraction by introducing event and propagation templates at the design phase that assist the development of domain-specific behaviours in structures. These mechanisms signify the attempt to move away from an atom-based behaviour provision towards system- and pattern-based approaches.
Extending types to modelling problem-space entities BIBAFull-Text 143-164
  William Van Lepthien; Kenneth M. Anderson
Structural computing has evolved from work on open hypermedia to aid in the construction of domain-specific software infrastructure and tools. Part of the premise of structural computing has been that by focusing on the abstraction of structure rather than on a concrete data layer, it should make it easier for developers to use appropriate levels of abstraction to build applications. By using the appropriate level of abstraction, the resulting systems can represent components in ways that closely reflect the problem space, instead of forcing the problem into an implementation-centric paradigm. Our previous work has concentrated on how to accomplish these ends through the abstraction of data - this paper concentrates on the benefits of abstraction of type.
   As our concern is primarily with modelling the problem space in an application domain, we approach 'type' initially from a problem-space viewpoint, not from a theoretic model. 'Type' is not a monolithic concept: a type may be an interface definition, a set of properties, or a classification. The meaning of a type depends on the individual entity to which the type is being applied, as well as the context in which the typing occurs. The meaning of 'type' in a problem domain may differ greatly from 'type' in an application addressing that domain, and the distinction must be kept clear. Types, like the entities to which they are applied, are not necessarily static. This observation is especially important in applications addressing domains that involve complex activities.
   This paper proposes a framework for distinguishing among the varieties of 'type' and describes uses for each. In the context of structural programming, we discuss techniques for building context-dependent extensions to existing types (whether interface definitions or classifications) that support applications where both the definitions of types and the classification of items are subject to change. We contextualize this work with respect to related research, and with more general software development concerns.
A structural computing approach to the production of multimedia document series BIBAFull-Text 165-189
  M. Nanard; J. Nanard; J. Chauché; P. R. King
The production of multimedia documents of a specified genre from indexed multimedia sources is an important research area. The area adds value to digital library resources and enables the delivery of specific multimedia documents. In this article, we explain how the principles of structural computing may be applied to the production of series of documents complying with some specific genre. The research is inspired by Markov transforms as used in natural language processing. We introduce TTL (Tree Transformation Language), a declarative XML-based formalism for the specification of structural transformation rules. We show, with the aid of a number of examples, how this formalism may be used to specify the narration, rhetoric, and argument structures which respect generic style constraints, and we show how documents are generated. The interpretation of TTL is itself specified as a set of transformation rules, which, together with the SYGMART engine, constitute the SYG-XML environment for producing target documents.
Structural analysis for the knowledge management domain BIBAFull-Text 191-216
  Claus Atzenbeck; Peter J. Nürnberg
Structural computing represents a form of hypertext, in which structure is foregrounded in the analysis, design and implementation of systems. Until now, the vast majority of structural computing work has focused on the implementation of frameworks. The applications implemented in these environments are often reimplementations of existing hypertext applications, intended to show the utility of the provided environments in terms of implementation, interoperability, or other metrics. Often, spatial hypertext applications are reimplemented, since they are seen as particularly good tests of structural computing infrastructures. This is because the demands they pose are quite different from many other types of hypertext applications. However, structural computing researchers have failed to reanalyse and redesign these applications in a structurally-aware way. There are substantial improvements that result from rethinking such applications from a structure-first perspective. In this paper, we present such a reanalysis, and describe its implications for spatial hypertext within structural computing environments.
caT: Adapting and updating the Trellis hypertext model BIBAFull-Text 217-246
  Jin-Cheon Na; Richard Furuta
The Trellis project has investigated the structure and semantics of human-computer interaction in the context of hypertext systems. The Trellis model is defined formally using coloured timed Petri nets as the structure of a hyperprogram, and this gives the model an elegant structure that can be both programmed and analysed. In this paper, we review and reexamine the Trellis hypertext model and its implementations to identify ways in which the model can be applied in modern computing environments and to determine improvements that will enhance the usability of the implementations. We discuss issues with Trellis concerning the graphical complexity of specifications, the characteristics of mobile and Web-based environments, and the specifics of its prototypes' user interfaces and implementation platforms. Based on our analyses, we have enhanced the model and extended the earlier systems to produce a new prototype called caT (for context-aware Trellis) which provides a framework for authoring, browsing, and analysis of reasonably complex, dynamic hypertexts. We describe how caT addresses the issues identified in Trellis. We also describe the results of our small usability study of the caT system and discuss matters that we continue to investigate.