|Table of Contents|

[1] Gao Kening, Ma Anxiang, Zhang Bin,. Web integration based on classification ontology [J]. Journal of Southeast University (English Edition), 2006, 22 (3): 426-429. [doi:10.3969/j.issn.1003-7985.2006.03.029]
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Web integration based on classification ontology()
基于分类本体的web集成
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Journal of Southeast University (English Edition)[ISSN:1003-7985/CN:32-1325/N]

Volumn:
22
Issue:
2006 3
Page:
426-429
Research Field:
Computer Science and Engineering
Publishing date:
2006-09-30

Info

Title:
Web integration based on classification ontology
基于分类本体的web集成
Author(s):
Gao Kening Ma Anxiang Zhang Bin
School of Information and Engineering, Northeastern University, Shenyang 110004, China
高克宁 马安香 张斌
东北大学信息科学与工程学院, 沈阳 110004
Keywords:
information integration classification ontology ontology integration personalization
信息集成 分类本体 本体集成 个性化
PACS:
TP393
DOI:
10.3969/j.issn.1003-7985.2006.03.029
Abstract:
In order to eliminate semantic heterogeneity and implement semantic combination in web information integration, the classification ontology is introduced into web information integration. It constructs a standard classification ontology based on web-glossary by extracting classified structures of websites and building mappings between them in order to get unified views. Mapping is defined by calculating concept subordinate matching degrees, concept associate matching degrees and concept dominate matching degrees. A web information integration system is realized, which can effectively solve the problem of classification semantic heterogeneity and implement the integration of web information source and the personal configuration of users.
在web信息集成领域, 为消除语义异构、实现语义融合, 将分类本体引入WWW信息集成, 设计了一种基于本体集成的web信息集成系统.通过构建标准分类本体以获取局部分类本体, 并建立二者间的映射, 以获得多源统一视图.通过计算概念间的统领匹配度、关联匹配度、从属匹配度来完成概念的映射.实现了基于分类本体的web信息集成系统, 该系统能很好地解决web信息分类语义异构问题, 并能实现多web信息源的集成以及用户个性化定制.

References:

[1] Liu Fang, Yu Clement, Meng Weiyi. Personalized web search by mapping user queries to categories[A].In:Proceedings of the Eleventh International Conference on Information and Knowledge Management[C]. New York: ACM Press, 2002.558-565.
[2] Youns Hafri, Chabane Djeraba. High performance crawling system[A].In:Proceedings of the 6th ACM SIGMM International Workshop on Multimedia Information Retrieval[C]. New York: ACM Press, 2004.299-306.
[3] Christophides Vassilis, Cluet Sophie, Simeon Jerome. On wrapping query languages and efficient XML integration[A].In: Proceedings of ACM SIGMOD Conference on Management of Data[C]. New York: ACM Press, 2000. 141-152.
[4] Knoblock Craig A, Minton Steven, Ambite Jose Luis. The ARIADNE approach to web-based information integration[J]. International Journal of Cooperative Information Systems, 2001, 10(1, 2):145-169.
[5] Decker S, Erdmann M, Fensel D. Ontology based access to distributed and semi-structured information[A]. In: Semantic Issues in Multimedia Systems[C]. Boston: Kluwer Academic Publisher, 1999:351-369.
[6] Xu Youzhi, Shen Jie, Chen Zhimin. Ontology-based information retrieval of web services in virtual enterprise[A]. In:Proceedings of the IEEE International Conference on Services Computing[C]. Shanghai, China, 2004.441-444.
[7] Corradini F, Mariani L, Merelli E. An agent-based approach to tool integration [J]. Journal of Software Tools Technology Transfer, 2004, 6(3):231-244.
[8] Li Shanping, Yin Qiwei, Hu Yujie, et al. Overview of researches on ontology [J]. Journal of Computer Research and Development, 2004, 41(7): 1041-1052.(in Chinese)
[9] Niles Ian, Pease Adam. Towards a standard upper ontology[A]. In: Proceedings of the Second Conference on Formal Ontology in Information Systems[C]. New York: ACM Press, 2001. 2-9.

Memo

Memo:
Biographies: Gao Kening(1963—), female, graduate; Zhang Bin(corresponding author), male, doctor, professor, zhangbin@mail.neu.edu.cn.
Last Update: 2006-09-20