AN APPROACH TO MATCH AND INTEGRATE ONTOLOGY USING ONTOLOGY REPOSITORY AND RULE BASE

Dan Wu, Anne Håkansson

Abstract

There exist a lot of ontologies that together can enrich knowledge within one or several related domains, thereby supporting the development of advanced services on the semantic web. This requires matching and integrating ontologies. This paper introduces an ontology matching process that handles the heterogeneities. The result is an intersection of the two original ontologies. An ontology repository stores the original ontologies and the matching results. A rule base is designed to integrate stored ontologies and the matching results with metadata, which is describing the interpretation of these ontologies and ontology matching results. The contribution of our approach is the semantic violation check which results in an ontology intersection that validates in the original ontologies. The metadata is applied with rules to integrate the ontologies so that the ontology and the matching results can be reused.

References

  1. Aumueller, D., Do, H., Massmann, S., Rahm, E., Schema and Ontology Matching with COMA++, SIGMOD 2005, June 14-16, 2005, Baltimore, Maryland, USA.
  2. Bouquet, P., Ehrig, M., Euzenat, J., Franconi, E., Hitzler, P., Krötzsch, M., Serafini, L. Stamou, G., Sure, Y., Tessaris, S., 2005. ”D2.2.1 Specification of a common framework for characterizing alignment”, Knowledgeweb - realizing the semantic web.
  3. Dou, D., Mc Dermott, D., and Qi, P., 2005. “Ontology Translation on the Semantic Web”, Journal on Data Semantics II, Springer, Berlin/Heidelberg, volume 3360/2005, p.35-37, January 2005.
  4. Euzenat, J., Shvaiko, P., “Ontology Matching”, Springer Berlin Heidelberg, 2007.
  5. Knorr, M., Alferes, J., Hitzler, P., 2011. “Local closed world reasoning with description logics under the well-founded semantics”, Artificial Intelligence doi: 10.1016/j.artint. 2011.01.007.
  6. Mao, M., Peng, F., Spring, M., 2009. “An adaptive ontology mapping approach with neural network based constraint satisfaction”, Web Semantics: Science, Services and Agents on the World Wide Web, Elsevier, 8 (2010) 14-25, 2009.
  7. Princeton University, 2011. Use Wordnet online, http:// wordnetweb.princeton.edu/perl/webwn, accessed on 6th December, 2011.
  8. Sowa, J. F., 2011. “Ontology”, http://www.jfsowa.com /ontology/index.htm, accessed 8th November 2011.
  9. W3C, 2009. “OWL 2 Web Ontology Language, Structural Specification and Functional-Style Syntax, W3C Recommendation 27 October, 2009.
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Paper Citation


in Harvard Style

Wu D. and Håkansson A. (2012). AN APPROACH TO MATCH AND INTEGRATE ONTOLOGY USING ONTOLOGY REPOSITORY AND RULE BASE . In Proceedings of the 8th International Conference on Web Information Systems and Technologies - Volume 1: WEBIST, ISBN 978-989-8565-08-2, pages 434-439. DOI: 10.5220/0003937604340439


in Bibtex Style

@conference{webist12,
author={Dan Wu and Anne Håkansson},
title={AN APPROACH TO MATCH AND INTEGRATE ONTOLOGY USING ONTOLOGY REPOSITORY AND RULE BASE},
booktitle={Proceedings of the 8th International Conference on Web Information Systems and Technologies - Volume 1: WEBIST,},
year={2012},
pages={434-439},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0003937604340439},
isbn={978-989-8565-08-2},
}


in EndNote Style

TY - CONF
JO - Proceedings of the 8th International Conference on Web Information Systems and Technologies - Volume 1: WEBIST,
TI - AN APPROACH TO MATCH AND INTEGRATE ONTOLOGY USING ONTOLOGY REPOSITORY AND RULE BASE
SN - 978-989-8565-08-2
AU - Wu D.
AU - Håkansson A.
PY - 2012
SP - 434
EP - 439
DO - 10.5220/0003937604340439