Next generation knowledge access

Purpose – The paper shows how access to knowledge can be enhanced by using a set of innovative approaches and technologies based on the semantic web.Design/methodology/approach – Emerging trends in knowledge access are considered followed by a description of how ontologies and semantics can contribute. A set of tools is then presented which is based on semantic web technology. For each of these tools a detailed description of the approach is given together with an analysis of related and future work as appropriate.Findings – The tools presented 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 appropriate to their current 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 withi...

[1]  Asunción Gómez-Pérez,et al.  ONTOGENERATION: Reusing Domain and Linguistic Ontologies for Spanish Text Generation , 1998 .

[2]  N. J. Davies,et al.  Knowledge Management , 2000 .

[3]  N. J. Davies,et al.  Knowledge Sharing Agents Over the World Wide Web , 1998 .

[4]  David Riaño,et al.  An Ontology-Based Knowledge Management Platform , 2003, IIWeb.

[5]  Kalina Bontcheva,et al.  Automatic Report Generation from Ontologies: The MIAKT Approach , 2004, NLDB.

[6]  C. Lee Giles,et al.  Accessibility of information on the web , 1999, Nature.

[7]  Frank van Harmelen,et al.  Ontology-based information visualisation , 2001, Proceedings Fifth International Conference on Information Visualisation.

[8]  Kristiina Jokinen,et al.  Generating Responses and Explanations from RDF/XML and DAML+OIL , 2003 .

[9]  Stuart E. Middleton,et al.  Capturing interest through inference and visualization: ontological user profiling in recommender systems , 2003, K-CAP '03.

[10]  Ehud Reiter,et al.  Book Reviews: Building Natural Language Generation Systems , 2000, CL.

[11]  Dieter Fensel,et al.  Ontologies: A silver bullet for knowledge management and electronic commerce , 2002 .

[12]  Peter W. Eklund,et al.  OntoRama: Browsing RDF ontologies using a hyperbolic-style browser , 2002, First International Symposium on Cyber Worlds, 2002. Proceedings..

[13]  Philip K. Chan,et al.  Learning implicit user interest hierarchy for context in personalization , 2003, IUI.

[14]  Alexiei Dingli,et al.  Learning to Harvest Information for the Semantic Web , 2004, ESWS.

[15]  Rudi Studer,et al.  The Semantic Web: Research and Applications , 2004, Lecture Notes in Computer Science.

[16]  James A. Hendler,et al.  The Semantic Web" in Scientific American , 2001 .

[17]  Atanas Kiryakov,et al.  KIM – a semantic platform for information extraction and retrieval , 2004, Natural Language Engineering.

[18]  S. Debowski.  Knowledge Management , 2005 .

[19]  Dunja Mladenic.  Web Browsing Using Machine Learning on Text Data , 2003, Intelligent Exploration of the Web.

[20]  Kalina Bontcheva.  Generating Tailored Textual Summaries from Ontologies , 2005, ESWC.

[21]  Jos de Bruijn,et al.  D4.2.1 State-of-the-art survey on Ontology Merging and Aligning V1 , 2004 .

[22]  Kalina Bontcheva,et al.  Knowledge management and human language: crossing the chasm , 2005, J. Knowl. Manag..

[23]  Marko Grobelnik,et al.  User Profiling for Interest-focused Browsing History , 2005 .

[24]  Dunja Mladenic,et al.  Automated knowledge discovery in advanced knowledge management , 2005, J. Knowl. Manag..