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Reconciling Web information classification approaches: the methods, the facts and the hype

Dotsika, Fefie (2008) Reconciling Web information classification approaches: the methods, the facts and the hype. In: O’Sullivan, Kevin, (ed.) Proceedings of the 5th International Conference on Intellectual Capital, Knowledge Management & Organizational Learning, New York Institute of Technology, New York, USA, 9-10 October 2008. Academic Publishing, Reading, pp. 137-144. ISBN 9781906638177

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Abstract

Ontologies and folksonomies are currently the most prominent web content classification schemes. While their roles are similar their engineering is different. In an attempt to combine and harness their distinct powers, web and information scientists are attempting to integrate them, merging the flexibility, collaboration and information aggregation of folksonomies with the standardisation, automated validation and interoperability of ontologies. In this paper we explore the basics of web information classification engineering, investigate the existing methods for integrating ontologies and folksonomies and examine the processes involved. We analyse the integration requirements, identify the strengths and weaknesses of the existing methodologies and assess their actual effectiveness. We finally bring everything together, proposing a common framework for reconciling the two classification approaches.

Item Type:Book Section
Research Community:University of Westminster > Westminster Business School
ID Code:7142
Deposited On:07 Jan 2010 16:13
Last Modified:07 Jan 2010 16:13

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