Ontology Mining for Semantic Interpretation of Information Needs

Tao, Xiaohui, Li, Yuefeng, & Nayak, Richi (2007) Ontology Mining for Semantic Interpretation of Information Needs. In Zhang, Zili & Siekmann, Jorg (Eds.) 2nd International Conference on Knowledge Science, Engineering and Management, 28-30 November, Melbourne, Australia.

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Abstract

Ontology is an important technique for semantic interpretation. However, the most existing ontologies are simple computational models based on only "super-" and "sub-class" relationships. In this paper, a computational model is presented for ontology mining, which analyzes the semantic relations of "part-of", "kind-of" and "related-to", and interprets the semantics of individual information need. The model is evaluated by comparing the knowledge mined by it, against the knowledge generated manually by linguists. The proposed model enhances Web information gathering from keyword-based to subject(concept)-based. It is a new contribution to knowledge engineering and management.

Impact and interest:

1 citations in Scopus
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ID Code: 10911
Item Type: Conference Paper
Refereed: Yes
DOI: 10.1007/978-3-540-76719-0_32
ISBN: 9783540767183
Divisions: Past > QUT Faculties & Divisions > Faculty of Science and Technology
Copyright Owner: Copyright 2007 Springer
Copyright Statement: Conference proceedings published, by Springer Verlag, will be available via SpringerLink.
http://www.springerlink.com
Deposited On: 26 Nov 2007 00:00
Last Modified: 29 Feb 2012 13:34

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