791 research outputs found
Assessing the impact of user interaction with thesaural knowledge structures: a quantitative analysis framework
Thesauri have been important information and knowledge organisation tools for more than three decades. The recent emergence and phenomenal growth of the World Wide Web has created new opportunities to introduce thesauri as information search and retrieval aids to end user communities. While the number of web-based and hypertextual thesauri continues to grow, few investigations have yet been carried out to evaluate how end-users, for whom all these efforts are ostensibly made, interact with and make use of thesauri for query building and expansion. The present paper reports a pilot study carried out to determine the extent to which a thesaurus-enhanced search interface to a web-based database aided end-users in their selection of search terms. The study also investigated the ways in which users interacted with the thesaurus structure, terms, and interface. Thesaurus-based searching and browsing behaviours adopted by users while interacting with the thesaurus-enhanced search interface were also examined
Enroller: an experiment in aggregating resources
This chapter describes a collaborative project between e-scientists and humanists working to create an online repository of linguistic data sets and tools. Corpora, dictionaries, and a thesaurus are brought together to enable a new method of research. It combines our most advanced knowledge in both computing and linguistic research techniques
E-book readers in higher education
Ebook readers have received a mixed press, with some hailing them as the future of reading and others believing that they will never be popular. The study outlined here aims to understand the attitudes of, and issues of importance to, lecturers in UK academia, with a view to improving the design of ebook readers for education in the future. An evaluation of five portable devices is presented, in which lecturers were given the opportunity to read an ebook and provide feedback via a questionnaire. Results are compared with concerns arising from other experiments in the same field, and recommendations are made for successful ebook design
A Study on the Use of Ontologies to Represent Collective Knowledge
The development of ontologies has become an area of considerable research interest over the past number of years. Domain ontologies are often developed to represent a shared understanding that in turn indicates cooperative effort by a user community. However, the structure and form that an ontology takes is predicated both on the approach of the developer and the cooperation of the user community. A shift has taken place in recent years from the use of highly specialised and expressive ontologies to simpler knowledge models, progressively developed by community contribution. It is within this context that this thesis investigates the use of ontologies as a means to representing collective knowledge. It investigates the impact of the community on the approach to and outcome of knowledge representation and compares the use of simple terminological ontologies with highly structured expressive ontologies in community-based narrative environments
Ontology mapping by concept similarity
This paper presents an approach to the problem of mapping ontologies. The motivation for the research stems from the Diogene Project which is developing a web training environment for ICT professionals. The system includes high quality training material from registered content providers, and free web material will also be made available through the project's "Web Discovery" component. This involves using web search engines to locate relevant material, and mapping the ontology at the core of the Diogene system to other ontologies that exist on the Semantic Web. The project's approach to ontology mapping is presented, and an evaluation of this method is described
27 pawns ready for action: A multi-indicator methodology and evaluation of thesaurus management tools from a LOD perspective
Purpose â The purpose of this paper is to propose a methodology for assessing thesauri and other controlled vocabularies management tools that can represent content using the Simple Knowledge Organization System (SKOS) data model, and their use in a Linked Open Data (LOD) paradigm. It effectively analyses selected set of tools in order to prove the validity of the method.
Design/methodology/approach â A set of 27 criteria grouped in five evaluation indicators is proposed and applied to ten vocabulary management applications which are compliant with the SKOS data model. Previous studies of controlled vocabulary management software are gathered and analyzed, to compare the evaluation parameters used and the results obtained for each tool.
Findings â The results indicate that the tool that obtains the highest score in every indicator is Poolparty. The second and third tools are, respectively, TemaTres and Intelligent Theme Manager, but scoring lower in most of the evaluation items. The use of a broad set of criteria to evaluate vocabularies management tools gives satisfactory results. The set of five indicators and 27 criteria proposed here represents a useful evaluation system in the selection of current and future tools to manage vocabularies.
Research limitations/implications â The paper only assesses the ten most important/well know software tools applied for thesaurus and vocabulary management until October 2016. However, the evaluation criteria could be applied to new software that could appear in the future to create/manage SKOS vocabularies in compliance with LOD standards.
Originality/value â The originality of this paper relies on the proposed indicators and criteria to evaluate vocabulary management tools. Those criteria and indicators can be valuable also for future software that might appear. The indicators are also applied to the most exhaustive and qualified list of this kind of tools. The paper will help designers, information architects, metadata librarians, and other staff involved in the design of digital information systems, to choose the right tool to manage their vocabularies in a LOD/vocabulary scenario
Information Extraction Techniques for the Purposes of Semantic Indexing of Archaeological Resources
The paper describes the use of Information
Extraction (IE), a Natural Language Processing (NLP)
technique to assist ârichâ semantic indexing of diverse
archaeological text resources. Such unpublished online
documents are often referred to as âGrey Literatureâ.
Established document indexing techniques are not sufficient to
satisfy user information needs that expand beyond the limits of
a simple term matching search. The focus of the research is to
direct a semantic-aware 'rich' indexing of diverse natural
language resources with properties capable of satisfying
information retrieval from on-line publications and datasets
associated with the Semantic Technologies for Archaeological
Resources (STAR) project in the UoG Hypermedia Research
Unit.
The study proposes the use of knowledge resources and
conceptual models to assist an Information Extraction process
able to provide ârichâ semantic indexing of archaeological
documents capable of resolving linguistic ambiguities of
indexed terms. CRM CIDOC-EH, a standard core ontology in
cultural heritage, and the English Heritage (EH) Thesauri for
archaeological concepts are employed to drive the Information
Extraction process and to support the aims of a semantic
framework in which indexed terms are capable of supporting
semantic-aware access to on-line resources. The paper
describes the process of semantic indexing of archaeological
concepts (periods and finds) in a corpus of 535 grey literature
documents using a rule based Information Extraction
technique facilitated by the General Architecture of Text
Engineering (GATE) toolkit and expressed by Java Annotation
Pattern Engine (JAPE) rules. Illustrative examples
demonstrate the different stages of the process.
Initial results suggest that the combination of information
extraction with knowledge resources and standard core
conceptual models is capable of supporting semantic aware and
linguistically disambiguate term indexing
Design issues in the production of hyperâbooks and visualâbooks
This paper describes an ongoing research project in the area of electronic books. After a brief overview of the state of the art in this field, two new forms of electronic book are presented: hyperâbooks and visualâbooks. A flexible environment allows them to be produced in a semiâautomatic way starting from different sources: electronic texts (as input for hyperâbooks) and paper books (as input for visualâbooks). The translation process is driven by the philosophy of preserving the book metaphor in order to guarantee that electronic information is presented in a familiar way. Another important feature of our research is that hyperâbooks and visualâbooks are conceived not as isolated objects but as entities within an electronic library, which inherits most of the features of a paperâbased library but introduces a number of new properties resulting from its nonâphysical nature
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