Study of the Ontology Mapping Method Based on the User Model in the Intelligent Retrieval System

doi:10.11925/infotech.1003-3513.2006.09.07

New Technology of Library and Information Service

2006, Vol. 1

Issue (9): 29-33 DOI: 10.11925/infotech.1003-3513.2006.09.07

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Study of the Ontology Mapping Method Based on the User Model in the Intelligent Retrieval System

Song Qi Xue Jianwu

（School of Management, Northwestern Polytechnical University, Xi’an 710072, China）

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Abstract

This paper states the Ontology mapping method of the intelligent retrieval system based on the user model, puts forward and describes the improved framework of Ontology mapping system. On this ground, it detailedly introduces the computation of similarities based on it and puts forward the integrated match approach which composes the individual match approach and the combining match approach in the end.

Key words： Intelligent Retrieval System(IRS) User model Ontology mapping Similarity computation

Received: 29 May 2006 Published: 25 August 2006

TP393

Corresponding Authors: Song Qi E-mail: songqi81@yahoo.com.cn

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Song Qi,Xue Jianwu . Study of the Ontology Mapping Method Based on the User Model in the Intelligent Retrieval System. New Technology of Library and Information Service, 2006, 1(9): 29-33.

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http://manu44.magtech.com.cn/Jwk_infotech_wk3/EN/10.11925/infotech.1003-3513.2006.09.07 OR http://manu44.magtech.com.cn/Jwk_infotech_wk3/EN/Y2006/V1/I9/29

1王捐琴．人工智能与情报检索的合壁．图书情报工作．1998(3)：22-26
2Visser PRS, Jones D M, Bench-Capon T J M . Assessing heterogeneity by classifying ontology mismatches,In: Nicola G. Proceedings of the First International Conference on Formal Ontology in Information Systems. Amsterdm: IOS Press, 1998:148-162
3Wiederhold, G .An algebra for ontology composition, U.S.Naval Postgraduate School, Monterey CA, 1994
4Visser P.R.S., Tamma V. A. M.(1999). An experience with ontology clustering for information integration. URL:http://www. Ceur-ws.org/Vol-23/visser-ijcai99-iii.pdf(Accessed Apr.1,2006)
5Fowler J, Nodine M, Perry B, Bargmeyer B. Agent-based semantic interoperability in Infosleuth. Sigmod Record, 1999, 28(1):60-67
6Melnik S, Garcia-Molina H, Rahm E. Similarity Flooding :A Versatile Graph Matching Algorithm, In: Proc. of the 18th Intl. Conf. on Data Engineering(ICDE). IEEE Computer Society. 2002.117
7H.Wache, T.Vgele, U.Visser, H. Stuckenschmidt, G.Schuster, H.Neumann and S.Hbner. Ontology-Based Integration of Information——A Survey of Existing Approaches. In Proceedings of the IJCAI-01 Workshop: Ontologies and Information Sharing, Seattle, WA, 2001.108-117
8蒋学锋. 用户兴趣的结构和个性化服务的实现. 计算技术与自动化. 2005, 24(4): 83-86
9E. Rahm, P. Bernstein. A survey of approaches to automatic schema matching. VLDB Journal, 2001,10(4):334-350

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