A Three-layer Framework for Querying Heterogeneous Information Sources Based on Ontology Mapping

S. M. Benslimane(1*), M. Malki(2), A. Merazi(3), D. Amar Bensaber(4)

(1) Computer Science Department, Sidi Bel Abbes University, Algeria
(2) Computer Science Department, Sidi Bel Abbes University, Algeria
(3) Computer Science Department, Sidi Bel Abbes University, Algeria
(4) Computer Science Department, Sidi Bel Abbes University, Algeria
(*) Corresponding author


DOI's assignment:
the author of the article can submit here a request for assignment of a DOI number to this resource!
Cost of the service: euros 10,00 (for a DOI)

Abstract


Ontology is increasingly seen as a key factor for automatic processing of machines, and interoperability between heterogeneous information systems. Ontology mapping is becoming a crucial aspect in providing the background knowledge required for solving heterogeneity problems between semantically described data sources, and accessing distributed information repositories. Developing such ontology mapping has been a core issue of recent ontology research. In this paper we present a three-layer framework to (semi-)automatically discovering and using ontology mapping. We show how such resulting mapping is used for resolving semantic interrogation tasks, and enabling runtime semantic interoperability across heterogeneous information systems using semantic web technologies.
Copyright © 2018 Praise Worthy Prize - All rights reserved.

Keywords


Ontology Mapping; Semantic Web; Semantic Interoperability; Similarity Measures

Full Text:

PDF


References


Bechhofer, S., Volz, R., and Lord, P. Cooking the semantic web with the owl api. In Proc. Of the First International Semantic Web Conference 2003 (ISWC 2003), October 21-23, 2003, Sanibel Island, Florida, pages 659–675, 2003.

C., F. Wordnet: An electronic lexical database, 1998.

Calvanese, D., Giacomo, G. D., and Lenzerini, M. A framework for ontology integration, 2001.

Clark, J. Xsl transformations (xslt). http://www.w3.org/TR/xslt, 1999. World Wide Web Consortium (W3C).

Do, H. H., Melnik, S., and Rahm, E. Comparison of schema matching evaluations.

Do, H. H. and Rahm, E. Coma - a system for flexible combination of schema matching approaches. In Proceedings of 28th International Conference on Very Large Data Bases (VLDB), pages 610– 621, ong Kong,China, 2002.

Doan, A., Madhavan, J., Domingos, P., and Halevy, A. Y. Learning to map between ontologies on the semantic web. In World Wide Web Conference, pages 662–673, Hawaii, USA, 7-11 May 2002.

Ehrig, M. and Staab, S. Qom - quick ontology mapping. In GI Jahrestagung (1), pages 356–361, September 2004.

Ehrig, M. and Sure, Y. Ontology mapping – an integrated approach. In First European Semantic Web Symposium, ESWS, Lecture Notes in Computer Science, pages 76–91, Crete, Greece, May 10-12 2004. Springer.

Euzenat, J., Stuckenschmidt, H., and Yatskevich, M. Introduction to the ontology alignment evaluation 2005. In Integrating Ontologies ’05, Proceedings of the K-CAP 2005 Workshop on Integrating Ontologies, Banff, Canada, October 2, 2005.

Gomez-Pérez, A. Ontological engineering: A state of the art, expert update. British Computer Society, 2(3):33–43, 1999.

Horrocks, I., Patel-Schneider, P. F., Boley, H., Tabet, S., Grosof, B., and Dean, M. Swrl: A semantic web rule language combining owl and ruleml. http://www.w3.org/Submission/SWRL/, 2004. World Wide Web Consortium (W3C).

http://www.w3.org/TR/rdf-sparql query.

Kalfoglou, Y. and Schorlemmer, W. M. Ontology mapping: the state of the art. The Knowledge Engineering Review, 18(1):1–31, 2003.

Levenshtein, V. I. Binary codes capable of correcting deletions, insertions, and reversals, 1966.

Maedche, A., Motik, B., Silva, N., and Volz, R. Mafra - a mapping framework for distributed ontologies. In 13th International Conference, EKAW, pages 235–250, Siguenza, Spain, October 1-4 2002.

Niles, I. and Pease, A. Towards a standard upper ontology, 2001.

Noy, N. and Musen, M. The prompt suite: Interactive tools for ontology merging and mapping, 2002.

Noy, N. F. and Klein, M. C. A. Ontology evolution: Not the same as schema evolution. Knowl. Inf. Syst., 6(4):428–440, 2004.

Noy, N. F. and Musen, M. A. Prompt: Algorithm and tool for automated ontology merging and alignment. In Proceedings of the Seventeenth National Conference on Artificial Intelligence and Twelfth Conference on Innovative Applications of Artificial Intelligence, pages 450– 455. AAAI Press / The MIT Press, 2000.

Pinto, H. S., Gomez-Perez, A., and Martins, J. P. Some issues on ontology integration. In Proc. of IJCAI99’s Workshop on Ontologies and Problem Solving Methods: Lessons Learned and Future Trends, pages 7–12, Stockholm, Sweden, August 1999.

Pinto, H. S. and Jo a. P. M. A methodology for ontology integration. In K-CAP ’01: Proceedings of the 1st international conference on Knowledge capture, pages 131–138, New York, NY, USA, 2001. ACM Press.

Rahm, E. and Bernstein, P. A. A survey of approaches to automatic schema matching. VLDB J., 10(4):334–350, 2001.

Zhdanova, A. V. and Shvaiko, P. Communitydriven ontology matching. In 3rd European Semantic Web Conference, ESWC, pages 34–49, Budva, Montenegro, June 11-14 2006.


Refbacks

  • There are currently no refbacks.



Please send any question about this web site to info@praiseworthyprize.com
Copyright © 2005-2020 Praise Worthy Prize