PASCAL - Pattern Analysis, Statistical Modelling and Computational Learning

Next Generation Knowledge Access
John Davies, Alistair Duke, Nick Kings, Dunja Mladenić, Kalina Bontcheva, Miha Grcar, Jesus Contreras, Mercedes Blazquez Civico and Tim Glover
Journal of Knowledge Management Volume 9, Number 5, pp. 64-84, 2005.


Purpose The paper shows how access to knowledge can be enhanced by using a set of innovative approaches and technologies based upon the Semantic Web. Approach Emerging trends in knowledge access are considered followed by a description of how ontologies and semantics can contribute. A set of tools are then presented which are based upon Semantic Web technology. For each of these a detailed description of the approach is given together with an analysis of related and future work as appropriate. Findings The presented tools are at the prototype stage but can already show how knowledge access can be improved by allowing users to more precisely express what they are looking for and by presenting to them in a form that is particular to their context. Research limitations/implications The tools show promising results in improving access to knowledge which will be further evaluated within a practical setting. The tools will be integrated and trialled as part of case studies within the SEKT project. This will allow their usability and practical applicability to be measured. Practical implications Ontologies as a form of knowledge representation are increasing in importance. Knowledge Management, and in particular knowledge access, will benefit from their widespread acceptance. The use of open standards and compatible tools in this area will be important to support interoperability and widespread access to disparate knowledge repositories. Originality/value of paper The paper presents research in an emerging but increasingly important field i.e. Semantic Web-based knowledge technology. It describes how this technology can satisfy the demand for improved knowledge access, including providing knowledge delivery to users at the right-time and the correct form.

EPrint Type:Article
Project Keyword:Project Keyword UNSPECIFIED
Subjects:Natural Language Processing
Information Retrieval & Textual Information Access
ID Code:1413
Deposited By:Dunja Mladenić
Deposited On:28 November 2005