Using linked data to classify web documents

Welcome:
Guest

Aslib Proceedings

ISSN: 0001-253X

Online from: 1949

Subject Area: Library and Information Studies

Content: Latest Issue | Latest Issue RSS | Previous Issues

Options: To add Favourites and Table of Contents Alerts please take a Emerald profile

Document Information:
Title:	Using linked data to classify web documents
Author(s):	Dominic Fripp, (Department of Information Science and Digital Media, University of the West of England, Bristol, UK)
Citation:	Dominic Fripp, (2010) "Using linked data to classify web documents", Aslib Proceedings, Vol. 62 Iss: 6, pp.585 - 595
Keywords:	Classification, Information retrieval, Worldwide web
Article type:	Technical paper
DOI:	10.1108/00012531011089694 (Permanent URL)
Publisher:	Emerald Group Publishing Limited
Acknowledgements:	Many thanks to Tom Tague of the Calais Initiative and Kingsley Idehen of OpenLink Software, both of whom have provided invaluable guidance in the writing of this paper.
Abstract:	Purpose – The purpose of this paper is to find a relationship between traditional faceted classification schemes and semantic web document annotators, particularly in the linked data environment. Design/methodology/approach – A consideration of the conceptual ideas behind faceted classification and linked data architecture is made. Analysis of selected web documents is performed using Calais' Semantic Proxy to support the considerations. Findings – Technical language aside, the principles of both approaches are very similar. Modern classification techniques have the potential to automatically generate metadata to drive more precise information recall by including a semantic layer. Originality/value – Linked data have not been explicitly considered in this context before in the published literature.