×

zbMATH — the first resource for mathematics

A formal method for integrating distributed ontologies and reducing the redundant relations. (English) Zbl 1192.68071
Summary: The purpose of this paper is to integrate distributed ontologies on the web system and clarify the structure of the integrated one. A formal method based on concept lattices is introduced as a mechanism to form more general semantic level. By checking the extension and the intension of concept, this method extracts the concept pairs satisfying inclusion relations from descartes’ set of concepts in distributed ontologies first, and then constructs a concept lattice according to these concept pairs. An algorithm to reduce redundant relations is also proposed to clarify the structure of integrated ontology. The experiments demonstrate the effectiveness of the proposed method to reduce redundant relations, and the Nir-to-Ncr ratio inclines to 1.05 from 3.13. Instances of certain concept are not given completely on the web, so it is difficult to check extension of different concepts. A very useful method of integrating distributed ontologies on the web. Compared with existing methods, this formal method can be performed by program automatically without any human intervening, and can extract the inclusion relations between concepts from distributed ontologies completely.

MSC:
68M11 Internet topics
Software:
MOVE
PDF BibTeX XML Cite
Full Text: DOI
References:
[1] Bhatt, M. and Taniar, D. (2004), ”A distributed approach to sub-ontology extraction”,Proceedings of the 18th International Conference on Advanced Information Networking and Application. · doi:10.1109/AINA.2004.1283981
[2] Calvanese, D., de Giacomo, G. and Lenzerini, M. (2001), ”A framework for ontology integration”,Proceedings of the First Semantic Web Working Symposium, pp. 303-16.
[3] Fensel, D., Horrocks, I., van Harmelen, F., McGuiness, D. and Patel-Schneider, P. (2001), ”OIL: ontology infrastructure to enable the semantic web”,IEEE Intelligent System, Vol. 16 No. 2. · Zbl 05094541 · doi:10.1109/5254.920598
[4] Huang, Y. and Zhang, H. (2005), ”A method of ontology mapping”,Computer Engineering and Application, Vol. 41 No. 18, pp. 27-9.
[5] Klein, M. and Fensel, D. (2001), ”Ontology versioning for the semantic web”,Proceedings of International Semantic Web Working Symposium, Stanford, CA, pp. 483-93.
[6] Klein, M. and Stuckenschmidt, H. (2003), ”Evolution management for interconnected ontologies”,Proceedings of the Semantic Integration Workshop Collocated with the Second International Semantic Web Conference (ISWC-03), Sanibel Island, FL.
[7] Li, J. (2004), ”Integration of web knowledge ontology”,Computer Science, Vol. 31 No. 9, pp. 1-5.
[8] Ma, Y.L., Wei, J., Jin, B.H. and Liu, S.H. (2004), ”A formal framework for ontology integration based on a default extension to DDL”,Proceedings of the 1st International Colloquium on Theoretical Aspects of Computing (ICTAC2004), LNCS3407, Guiyang, pp. 154-69. · Zbl 1108.68596
[9] DOI: 10.1145/1041410.1041421 · Zbl 05444394 · doi:10.1145/1041410.1041421
[10] Rodriguez, M. (2000), ”A similarity-based ontology integration”,Proceedings of the First International Conference on Geographical Information Science, Savannah, GA.
[11] Sofia Pinto, H., G’omez-P’erez, A. and Martins, J.P. (1999), ”Some issues on ontology integration”,Proceedings of the IJCAI-99 Workshop on Ontologies and Problem-Solving Methods (KRR5), Stockholm.
[12] Wache, H. (2001), ”Ontology-based integration of information: a survey of existing approaches”,Proceedings of the 17th International Joint Conference on Artificial Intelligence (IJCAI01): Ontology and Information Sharing, Seattle, WA, pp. 108-17.
[13] Wache, H., Vogele, T., Visser, U., Stuckenschmidt, H., Schuster, G., Neumann, H. and Hübner, S. (2001), ”Ontology-based integration of information – a survey of existing approaches”,Proceedings of the IJCAI-2001 Workshop on Ontologies and Information Sharing, Seattle, WA, pp. 108-17.
[14] Zhu, J. and Wang, J. (2006), ”Semantic web services interaction based on ontology”,Journal of Jilin University, Vol. 24 No. 4, pp. 417-22.
[15] Zhu, J., Wang, J. and Li, B. (2006), ”Web services selection based on semantic similarity”,Journal of Southeast University, Vol. 22 No. 5, pp. 742-7 (English edition).
This reference list is based on information provided by the publisher or from digital mathematics libraries. Its items are heuristically matched to zbMATH identifiers and may contain data conversion errors. It attempts to reflect the references listed in the original paper as accurately as possible without claiming the completeness or perfect precision of the matching.