Abstract

In this study we Introduce a three dimensional algorithm for ontology matching problem by comparing ontologies concepts from three dimensions (i) matching concepts based on name similarity (ii) matching concepts based on content similarity (iii) matching concepts based on relationship similarity. By comparing concepts from three dimensions we can trust our result since; the same concepts may be named by different labels or they may have the same names but differ in their attribute or their relations. In these cases if we rely on one dimension in the matching process; we will not discover the similarities. On the contrary, when the matching process relies on three dimensions, if one dimension can't discover the similarity the other will do.

Keywords:

Ontlogy, ontlogy matching, ontlogy matching algorithm, software agent,

References

1. Biron, P., K. Permanente and A. Malhotra, 2004. XML Schema Part 2: Datatypes. 2nd Edn., W3C Recommendation.
   
2. Chirstopher, M.D., R. Prabhakar and H. Schütze, 2009. An Introduction to Information Retrieval. Cambridge University Press, New York.
   
3. Fasli, M., 2007. Agent Technology for E-commerce. Wiley and Sons, Chichester.
   
4. Giunchiglia, F., P. Shvaiko and M. Yatskevich, 2005. Semantic schema matching. Proceedings of the 13th International Conference on Cooperative Information Systems (CoopIS 05), AgiaNapa, Cyprus.
   CrossRef    
5. Huang, J., J. Dang, J. Vidal and M. Huhns 2007. Ontology matching using an arti?cial neural network to learn weights. Proceeding of the IJCAI Workshop on Semantic Web for Collaborative Knowledge Acquisition, pp: 80-85.
   
6. Laclavík, M., 2005. Ontology and agent based approach for knowledge management. Ph.D. Thesis, Institute of Informatics, Slovak Academy of Sciences.
   
7. Madhavan, J., P.A. Bernstein and E. Rahm, 2001. Generic Schema Matching with Cupid. VLDB 2001.
   
8. Madhavan, J., P.A. Bernstein, A. Doan and A. Halevy, 2005. Corpus-based schema matching. Proceedings of the 25th International Conference on Data Engineering (ICDE 05), Tokyo, Japan.
   CrossRef    
9. Malgorzata, M., 2009. The methodology for finding suitable ontology matching approaches. Ph.D. Thesis, Universität of Berlin.
   
10. Williams, A.B., 2004. Learning to share meaning in a multi-agent system. Auton. Agents Multi Ag. Syst., 8(2): 165-193.
    CrossRef    
11. Yatskevich, M. and F. Giunchiglia, 2004. Element level semantic matching. Proceeding of the Workshop on Meaning Coordination and Negotiation at ISWC, Hiroshima, Japan.
    
12. Zharko, A., K. Michel, K. Warner and H. Frank, 2006. Matching unstructured vocabularies using background ontology. Proceeding of the 15th International Conference on Knowledge Engineering and Knowledge Management (EKAW 2006), pp: 182-197.
    

Competing interests

The authors have no competing interests.

Open Access Policy

This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.

Copyright

The authors have no competing interests.