Abstract
In WWW information integration, eliminating semantic hetero-geneity and implementing semantic combination is one of the key problems. This paper introduces classification ontology into WWW information integration to solve the semantic combination problem of heterogeneity classification architecture in Web information integration. However, there may be many kinds of ontology in a specific domain due to the structure of the websites, domain experts and different goals. So we have to combine all these kinds of ontology into logically unified integrated classification ontology in order to solve the problem of semantic heterogeneity commendably. This paper primarily discusses the method of building integrated classification ontology based on individual ontology, presents the definition of classification ontology, analyses the conceptual mapping and relational mapping between ontologies and solves the level conflict in the equivalent concepts.
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References
Ouksel, A.: Semantic interoperability in global information systems-a brief introduction to the research area and the special section. SIGMOD Record 28(1), 5–12 (1999)
Shan-Ping, L.: Overview of Researches on Ontology. Journal of Computer Research and Development 41(7), 1041–1052 (2004)
Dumais, S.: Improving the retrieval of information from external sources. Behavior Research Methods, Instruments, and Computers 23(2), 229–236 (1991)
Foster, I., Kesselman, C.: The anatomy of the grid: Enabling scalable virtual organizations. International Journal of Supercomputer Applications 15(3), 200–222 (2001)
Xiao-Peng, M.: An Overview of Web Data Management. Journal of Computer Research and Development 38(4), 385–395 (2001)
Agrawal, R., Srikant, R.: On integrating catalogs. In: Proceeding of the WWW-10, Hong Kong, pp. 603–612 (2001)
Noy, N.F., Musen, M.A.: Prompt: algorithm and tool for automated ontology merging and alignment. In: Proceeeding of American Association for Artificial Intelligence (AAAI), Austin, Texas, pp. 450–455 (2000)
Doan, A., Madhavan, J., Halevy, A.: Learning to map between ontologies on the semantic web. In: Proceedings of WWW 2002, 11th International WWW Conference, Hawaii (2002)
Tang, J., Liang, B.-Y., Li, J.-Z.: Toward Detecting Mapping Strategies for Ontology Interoperability. In: The 14th International World Wide Web Conference (WWW 2005), Japan (2005)
McGuinness, D., Fikes, R.: An Environment for Merging and Testing Large Ontologies. In: Proceedings of the Seventh International Conference on Principles of Knowledge Representation and Reasoning, Colorado, USA (2000)
Corradini, F., Mariani, L., Merelli, E.: An agent-based approach to tool integration. Journal of Software Tools Technology Transfer 6(3), 231–244 (2004)
Su, X., Hakkarainen, S., Brasethvik, T.: Semantic enrichment for improving systems. interoperability. In: SAC 2004, pp. 1634–1641. ACM Press, New York (2004)
Agirre, E., Rigau, G.: A Proposal for Word Sense Disambiguation using Conceptual Distance. In: Proceedings of International Conference RANLP 1995, Bulgaria (1995)
Studer, R., Benjamins, V.R., Fensel, D.: Knowledge Engineering: Principles and Methods. Data and Knowledge Engineering 25(122), 161–197 (1998)
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© 2006 Springer-Verlag Berlin Heidelberg
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Ma, A., Gao, K., Zhang, B., Wang, Y., Yin, Y. (2006). WWW Information Integration Oriented Classification Ontology Integrating Approach. In: Lang, J., Lin, F., Wang, J. (eds) Knowledge Science, Engineering and Management. KSEM 2006. Lecture Notes in Computer Science(), vol 4092. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11811220_24
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DOI: https://doi.org/10.1007/11811220_24
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-37033-8
Online ISBN: 978-3-540-37035-2
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