（西北工业大学管理学院 西安 710072）

阐述智能检索中基于用户模型的本体映射方法，提出在实现智能检索系统目的下引入用户模型的改进的本体映射框架。从语义、语法两个方面详细介绍基于该框架组织结构的相似度的计算过程，最后提出独立匹配与组合匹配相结合的综合匹配策略。

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

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.

TP393

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