Semantic Web Ontology Integration Based on Formal Concept Analysis

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Matchmaking is the basis of doing service discovery and composition. Using ontology semantically express the service of capabilities, correctly match service. Domain ontology and Formal Concept Analysis aim at modeling concept. The role of FCA in ontology engineering is supporting reusing independently developed domain ontology. Evaluating concept similarity identifies the different concepts that are semantically close. In this paper, using concept and attribute of web services to construct the ontology. Also, an ontology based method for assessing similarity between FCA concepts is proposed.

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1714-1718

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August 2013

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© 2013 Trans Tech Publications Ltd. All Rights Reserved

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[1] X. Hong, L. Zeng-zhi, and C. Yan-ping. Research of semantic web service matching based on concept lattice. Journal of Beijing University of Posts and Telecommunications, 2006, p.185–188.

Google Scholar

[2] M. Bain, Inductive construction of ontologies from Formal Concept Analysis, Australian Conference on Artificial Intelligence, 2003, pp.88-99.

DOI: 10.1007/978-3-540-24581-0_8

Google Scholar

[3] B. Chandrasekaran, J. Josephson, and V. Benjamins. What are ontologies and why do we need them? IEEE Intelligent Systems, 1999, p.20–26.

DOI: 10.1109/5254.747902

Google Scholar

[4] T. Gruber. A translation approach to portable ontology specification. Knowledge Acquisition, 1993, p.199–220.

DOI: 10.1006/knac.1993.1008

Google Scholar

[5] G. Pierra, The PLIB ontology-based approach to data integration, IFIP Congress Topical Sessions, 2004, pp.13-18.

DOI: 10.1007/978-1-4020-8157-6_2

Google Scholar

[6] D. Calvanese, G. De Giacomo, M. Lenzerini, A framework for ontology integration, in : Proceedings of Semantic Web Working Symposium (SWWS), 2001, pp.303-316.

Google Scholar

[7] F. Hakimpour, A. Geppert, Resolving semantic heterogeneity in schema integration, International Conference on Formal Ontology in Information Systems (FOIS), 2001, pp.297-308.

DOI: 10.1145/505168.505196

Google Scholar

[8] R. Belohlavek, Combination of knowledge in fuzzy Concept Lattices, International Journal of Knowledge-Based Intelligent Engineering Systems, 2002, pp.9-14.

Google Scholar

[9] R. Belohlavek, J. Dvorak, J. Outrata, Fast factorization of Concept Lattices by similarity: solution and an open problem, in: V. Snasel, R. Belohlavek (Eds. ), Proceedings of Concept Lattices and their Applications (CLA), Ostrava, Czech Republic, 2004, pp.47-57.

DOI: 10.1007/978-3-540-78921-5_4

Google Scholar

[10] R. Wille. Restructuring lattice theory: an approach based on hierarchies of concepts. In I. Rival, editor, Ordered Sets, Dordrecht-Boston, Reidel Publishing Company, 1982, pp.445-470.

DOI: 10.1007/978-94-009-7798-3_15

Google Scholar

[11] B. Ganter and R. Wille. Formal concept analysis, mathematical foundations. Spring-Verlag, Berlin Heidelberg, (1999).

Google Scholar

[12] W. Petersen, A Set-Theoretical Approach for the induction of Inheritance Hierarchies, Theoretical Computer Science, 2004, pp.296-308.

DOI: 10.1016/s1571-0661(05)82590-3

Google Scholar

[13] G. Stumme and A. Maedche, FCA—Merge: Bottom-Up Merging of Ontologies", Proc. 17th Int'1 Conf. Artificial Intelligence (IJCAI, 01), 2001, pp.225-230.

Google Scholar

[14] G. Stumme, R. Taouil, Y. Bastide, N. Pasquier, and L. Lakhan, Computing Iceberg Concept Lattice with Titanic, J. Knowledge and Data Eng., vol. 42, no. 2, 2002, pp.189-222.

DOI: 10.1016/s0169-023x(02)00057-5

Google Scholar

[15] L. Yun, L. Zong-tian, C. Ling, X. Xiao-hua, and C. Wei. Horizontal union algorithm of multiple concept lattices. ACTA ELECTRONICA SINICA, 32(11), 2004, p.1849–1854.

Google Scholar

[16] M. Missikoff, X.F. Wang, A group decision system for collaborative ontology building, in: Proceedings of International Conference on Group Decision and Negociation, La Rochelle, France, 2001, pp.153-160.

Google Scholar

[17] A. Formica, M. Missikoff, Concept similarity in SymOntos: an enterprise ontology management tool, The Computer Journal 45(6), 2002, pp.583-594.

DOI: 10.1093/comjnl/45.6.583

Google Scholar