933 12 archive 2 disk0/00/00/09/33 2007-10-21 22:51:22 2007-11-02 17:36:59 2007-10-21 22:51:22 article show Barnaghi Payam M. payam.barnaghi.nottingham.edu.my Sameem Abdul Kareem sameem@um.edu.my University of Nottingham (Malaysia), School of Computer Science & Information Technology University of Malaya, Faculty of Computer Science & Information Technology pub Q none Semantic web, semantic association’s search, relation robustness, ranking semantic relations, relationship search, discovery que, hypermedia presentation, heterogeneous resources The search tools and information retrieval systems on the contemporary Web use keywords, lexical analysis, popularity, and statistical methods to find and prioritize relevant data to a specific query. In recent years, Semantic web has introduced new approaches to specify Web data using machine-interpretable structures. This has led to the establishment of new frameworks for search engines and information systems based on discovering complex and meaningful relationships between the information resources. In this paper we discuss a semantic supported information search and retrieval system to answer users’ information queries. The paper focuses on knowledge discovery aspects of the system and in particular analysis of semantic associations. The information resources are multimedia data which could be retrieved from heterogeneous resources. The main goal is to provide a hypermedia presentation which is narratively conveyed to present relevant information to the queried term. The structure describes the related entities to the queried topic and a ranking mechanism assigns weights to the entities. The assigned weights express the degree of relevancy of each related entity in the presentation structure. 2007 published Electronic Journal of Knowledge Management 5 3 Academic Conference Ltd 265-272 TRUE 1479-4411 265 http://www.ejkm.com/volume-5/v5-i3/Barnaghi.pdf Aleman-Meza B., Halaschek-Wiener C., Arpinar B., Ramakrishnan C., and Sheth P. (2005) “Ranking Complex Relationships on the Semantic Web”, IEEE Internet Computing, No. 9, Vol 3, pp. 37-44. Anyanwu K., and Sheth A. (2003) “ñ-Queries: Enabling Querying for Semantic Associations on the Semantic Web”, In Proceedings of the Twelfth International World-Wide Web Conference, pp. 690-699. Barnaghi P, and Sameem K. (2006) "Semantic support for automatic hypermedia presentation generation”, Technical Report, UNiM-0601, the University of Nottingham Malaysia. Barnaghi P, and Sameem K. (2005) “Ontology-Based Multimedia Presentation Generation”, In Proceedings of the IEEE TENCON05 Conference, pp. 1–5. Brickley D., and Guha V. (2004) “RDF Vocabulary Description Language 1.0: RDF Schema”, W3C Recommendation 10 February 2004, http://www.w3.org/TR/rdf-schema/ Brin S. and Page L. (1998) “The anatomy of a large-scale hypertextual Web search engine”, in Proceedings of Seventh International World Wide Web Conference, pp. 107-117. Broekstra J., Kampman A., Harmelen F. (2002) “Sesame: An Architecture for Storing and Querying RDF and RDF Schema”, In Proceedings of the First International Semantic Web Conference (ISWC 2002), pp54-68. Davison D., Gerasoulis A., Kleisouris K., Lu Y., Set H., Wang W., and Wu B. (1999) “DiscoWeb: Applying Link Analysis to Web Search”, In Poster proceedings of the Eighth International World Wide Web Conference, pp148-149. Ding L., Finin T., Joshi A., Pan R., Cost R., Peng Y., Reddivari P., Doshi V., and Sachs J. (2004) “Swoogle: a search and metadata engine for the semantic web”, In Proceedings of the Thirteenth ACM international Conference on information and Knowledge Management, pp. 652-659. Finin T., Ding L., Pan R, Joshi A., Kolari P., Java A., and Peng Y. (2005) “Swoogle: Searching for knowledge on the Semantic Web”, In Proceedings of AAAI 05 (intelligent systems demo), pp. 241-248. Guha R., and McCool R. (2003) “TAP: A Semantic Web Test-ed”, Journal of Web Semantics, No. 1, Vol.1, pp. 81-88. Hardman L., and Ossenbruggen J. (2006) "Creating meaningful multimedia presentations", Technical Report, INSE0602, CWI, the Netherlands. Kim H., and Biehl M. (2005) “Exploiting the Small-Worlds of the Semantic Web to Connect Heterogeneous, Local Ontologies”, Journal of Information Technology and Management, No. 6, Vol 1, pp. 89-96. Kleinberg J. (1999) “Authorative sources in a hyperlinked environment,” Journal of ACM, No. 48, pp604-632. Lassila O., and Swick R. (1999) “Resource Description Framework (RDF) Model and Syntax Specification”, W3C Recommendation 22 February 1999, http://www.w3.org/TR/1999/REC-rdf-syntax-19990222/ Zhuge H., and Zheng P., “Ranking Semantic-linked Network”, In Proceeding of WWW2003 Conference. http://www2003.org/cdrom/papers/poster/p148/P148-Zhuge/P148-Zhuge.htm