Abstract
Existing approaches to ontology retrieval solely base their search mechanisms on keyword matching while taxonomic structure is solely used for ranking purpose. Users, therefore, are not equipped with expressive means to structurally and semantically describe their ontology needs. To tackle this problem, this paper develops a framework for Semantic Query based Ontology Retrieval, namely SQORE. It enables precise formulation of a semantic query in order to best capture a user’ s ontology requirements, which include not only the desired class and property names, but also their relations and restrictions. SQORE employs XML Declarative Description (XDD) theory as its theoretical foundation for modeling ontology databases and evaluating semantic queries. Moreover, similarity score is formally defined as a key metric for ranking the resulting ontologies based on their conceptual closeness to the given query.
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References
Alani, H., Brewster, C.: Metrics for Ranking Ontologies. In: Proceedings of 4th International EON Workshop, 15th Int’l WWW Conference, Edinburgh (2006)
Anutariya, C., Wuwongse, V., Akama, K.: XML Declarative Description with First-Order Logical Constraints. Computational Intelligence 21(2), 130–156 (2005)
Anutariya, C., Wuwongse, V., Akama, K., Wattanapailin, V.: Semantic Web Modeling and Programming with XDD. In: Proc. Semantic Web Working Symposium (SWWS-01), CA, pp. 161–180 (2001)
Berners-Lee, T., Handler, J., Lassila, O.: The Semantic Web. Scientific American (May 2001)
Brin, S., Page, L.: The anatomy of a large-scale hyper-textual web search engine. In: Seventh International WorldWide Web Conference, Brisbane, Australia (1998)
Ding, L., Finin, T., Joshi, A., Pan, R., Scott Cost, R., Peng, Y., Reddivari, P., Doshi, V., Sachs, J.: Swoogle: a search and metadata engine for the semantic web. In: Proc. 13 ACM Int’l Conf. Information and Knowledge Management, DC, November 08-13 (2004)
Finin, T., Mayfield, J., Joshi, A., Scott Cost, R., Fink, C.: Information Retrieval and the Semantic Web. In: Proc. 38th Annual Hawaii Int’l Conf. System Sciences (HICSS’05), Track 4, p.113.1 (2005)
Miller, A.: Wordnet: A lexical database for English. Communications of the ACM 38(11) (1995)
Patel, C., Supekar, K., Lee, Y., Park, E.K.: OntoKhoj: a semantic web portal for ontology searching, ranking and classification. In: Proc. 5th ACM Int’l Workshop on Web Information and Data Management, Louisiana, November 07-08 (2003)
Thomas, E., Alani, H., Sleeman, D., Brewster, C.: Searching and Ranking Ontologies on the Semantic Web. In: Proc. Workshop Ontology Management: Searching, Selection, Ranking, and Segmentation. 3rd K-CAP 2005, Banff, Canada, pp. 57–60 (2005)
Wuwongse, V., Anutariya, C., Akama, K., Nantajeewarawat, E.: XML Declarative Description (XDD): A Language for the Semantic Web. IEEE Intelligent Systems 16(3), 54–65 (2001)
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Anutariya, C., Ungrangsi, R., Wuwongse, V. (2007). SQORE: A Framework for Semantic Query Based Ontology Retrieval. In: Kotagiri, R., Krishna, P.R., Mohania, M., Nantajeewarawat, E. (eds) Advances in Databases: Concepts, Systems and Applications. DASFAA 2007. Lecture Notes in Computer Science, vol 4443. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-71703-4_80
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DOI: https://doi.org/10.1007/978-3-540-71703-4_80
Publisher Name: Springer, Berlin, Heidelberg
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