Please use this identifier to cite or link to this item: https://ptsldigital.ukm.my/jspui/handle/123456789/394965
Title: SwSim: discovering semantic similarity association in semantic web
Authors: Shahdad Shariatmadari
Ali Mamat
Hamidah Ibrahim
Norwati Mustapha
Conference Name: International Symposium on Information Technology
Keywords: SwSim
Semantic web
Conference Date: 26/08/2008
Conference Location: Kuala Lumpur Convention Centre
Abstract: Similarity is an important and fundamental concept in AI and many other fields. In different applications, users need to discover the relations between objects and find the level of semantic similarity between them. (I.e. find two similar papers or two similar events). In order to answer these types of complex queries, discovering semantic similarity association is one of the important steps. The semantic web describes the resources/entities and its relationships in machine understandable way. Although semantic web technologies define relations between objects but discovering the semantic similarity relation between objects is an ongoing research. This paper presents our method (SwSim) based on semantic association concept to discover the semantic similarity in semantic web document. In this paper, we describe how the proposed method help user to answer the complex queries in semantic web.
Pages: 4
Call Number: T58.5.C634 2008 kat sem j.2
Publisher: Institute of Electrical and Electronics Engineers (IEEE),Piscataway, US
Appears in Collections:Seminar Papers/ Proceedings / Kertas Kerja Seminar/ Prosiding

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