SEMANTIC CLUSTERING WITH CONTEXT ONTOLOGY FOR INFORMATION RETRIEVAL SYSTEM

Soe, Thinn Lai

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- Co-operative College, Mandalay
- Cooperative College, Phaunggyi
- Co-operative University, Sagaing
- Co-operative University, Thanlyin
- Dagon University
- Kyaukse University
- Laquarware Technological college
- Mandalay Technological University
- Mandalay University of Distance Education
- Mandalay University of Foreign Languages
- Maubin University
- Mawlamyine University
- Meiktila University
- Mohnyin University
- Myanmar Institute of Information Technology
- Myanmar Maritime University
- National Management Degree College
- Naypyitaw State Academy
- Pathein University
- Sagaing University
- Sagaing University of Education
- Taunggyi University
- Technological University, Hmawbi
- Technological University (Kyaukse)
- Technological University Mandalay
- University of Computer Studies, Mandalay
- University of Computer Studies Maubin
- University of Computer Studies, Meikhtila
- University of Computer Studies Pathein
- University of Computer Studies, Taungoo
- University of Computer Studies, Yangon
- University of Dental Medicine Mandalay
- University of Dental Medicine, Yangon
- University of Information Technology
- University of Mandalay
- University of Medicine 1
- University of Medicine 2
- University of Medicine Mandalay
- University of Myitkyina
- University of Public Health, Yangon
- University of Veterinary Science
- University of Yangon
- West Yangon University
- Yadanabon University
- Yangon Technological University
- Yangon University of Distance Education
- Yangon University of Economics
- Yangon University of Education
- Yangon University of Foreign Languages
- Yezin Agricultural University
- New Index

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SEMANTIC CLUSTERING WITH CONTEXT ONTOLOGY FOR INFORMATION RETRIEVAL SYSTEM

http://hdl.handle.net/20.500.12678/0000004278

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ForIJC.pdf (218 Kb)

Publication type
		Article
Upload type
		Publication
Title
	Title	SEMANTIC CLUSTERING WITH CONTEXT ONTOLOGY FOR INFORMATION RETRIEVAL SYSTEM
	Language	en
Publication date		2013
Authors
		Soe, Thinn Lai
Description
		Nowadays, there are so many increasing amount of information within world-wide web. For these increasing amounts ofinformation, we need efficient and effective index structure when we have to find needed information. Most indexing techniquesdirectly matched terms from the document and terms from query. But there is a problem when matching. That is most systemdoesn’t consider the meaning of the words. A word can have more than one meaning. But most systems didn’t consider thecontext (multiple meaning of a word). This paper presents how to construct an index structure using SSTC and context ontologythat provides multiple meanings of a word. Context provides extra information to improve search result relevance. This paperproduces context semantic cluster to provide indexing of search engine.
Keywords
		indexing, context ontology, semantic suffix tree clustering (SSTC)
Identifier		2307-4523
Journal articles
		International Journal of Computer
Conference papers
Books/reports/chapters
Thesis/dissertations