Semantic Association Analysis in Ontology-based Information Retrieval
Barnaghi, P, Wang, W and Kurian, JC (2009) Semantic Association Analysis in Ontology-based Information Retrieval In: Handbook of Research on Digital Libraries: Design, Development, and Impact. IGI Global, pp. 131-141. ISBN 1599048795
Restricted to Repository staff only
barnaghi chap_theng book.pdf
Available under License : See the attached licence file.
The Semantic Web is an extension to the current Web in which information is provided in machine-processable format. It allows interoperable data representation and expression of meaningful relationships between the information resources. In other words, it is envisaged with the supremacy of deduction capabilities on the Web, that being one of the limitations of the current Web. In a Semantic Web framework, an ontology provides a knowledge sharing structure. The research on Semantic Web in the past few years has offered an opportunity for conventional information search and retrieval systems to migrate from keyword to semantics-based methods. The fundamental difference is that the Semantic Web is not a Web of interlinked documents; rather, it is a Web of relations between resources denoting real world objects, together with well-defined metadata attached to those resources. In this chapter, we first investigate various approaches towards ontology development, ontology population from heterogeneous data sources, semantic association discovery, semantic association ranking and presentation, and social network analysis, and then we present our methodology for an ontology-based information search and retrieval. In particular, we are interested in developing efficient algorithms to resolve the semantic association discovery and analysis issues.
|Item Type:||Book Section|
|Divisions :||Faculty of Engineering and Physical Sciences > Electronic Engineering > Centre for Communication Systems Research|
|Uncontrolled Keywords :||Education|
|Additional Information :||Copyright © 2009 by IGI Global. All rights reserved. No part of this publication may be reproduced, stored or distributed in any form or by any means, electronic or mechanical, including photocopying, without written permission from the publisher.|
|Depositing User :||Symplectic Elements|
|Date Deposited :||28 Sep 2012 08:54|
|Last Modified :||09 Jun 2014 13:18|
Actions (login required)
Downloads per month over past year