Abstract
The growth of interest in Semantic Web has increased the number of ontologies. Necessity of dealing with different ontologies at the same time has enhanced the research on ontology integration. This paper is focused on integrating ontologies covering the same domain. In particular, a novel approach of semantically parsing multiword elements (SPME) is presented in this paper. What is more, paper exemplifies the approach on ontology examples from e-learning domain and confirms the approach with existing ontologies. In addition, paper shows that it produces results with respect to information retrieval techniques.
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References
A. Hameed, D. Sleeman, A. Preece, “Detecting Mismatches Among Experts’ Ontologies Acquired Through Knowledge Elicitation”, In Proceedings of 21st SGES International Conference on Knowledge Based Systems and Applied Artificial Intelligence, Vol. 15, No.5–6, pp. 265–273, June 2002.
A. Maedche and S. Staab. “Measuring Similarity between Ontologies.” In Proceedings of the European Knowledge Acquisition and Management (EKAW 2002), pp. 251–263, October 2002.
G. Wiederhold, “An Algebra for Ontology Composition”, In Proceedings of 1994 Monterey Workshop on Formal Methods, pp. 56–61, Monterey CA, 1994.
J. Madhavan, P. A. Bernstein, and E. Rahm. “Generic Schema Matching with Cupid.” In Proceedings of the 27th International Conferences on Very Large Databases, pp. 49–58, August 2001.
L. Ding, T. Finin, A. Joshi, R. Pan, R. S. Cost, Y. Peng, P. Reddivari, V. Doshi, J. Sachs, “Swoogle: a search and metadata engine for the semantic web”, In Proceedings of the 13th ACM International Conference on Information and Knowledge Management, pp. 652–659, 2004. URL: http://swoogle.umbc.edu/, last visited: March, 2006.
M. A. Rodriguez and M. J. Egenhofer, “Determining Semantic Similarity Among Entity Classes from Different Ontologies”, IEEE Transactions on Knowledge and Data Engineering, Vol. 15, No. 2, pp. 442–456, 2003.
M. Dean, G. Schreiber, (eds.), “OWL Web Ontology Language Reference”, W3C Recommendation, February 2004.
M. Klein, “Combining and Relating Ontologies: an Analysis of Problems and Solutions.” In Proceedings of the 17th International Joint Conference on Artificial Intelligence (IJCAI-01), Workshop on Ontologies and Information Sharing, Vol. 47, pp. 53–62, Seattle, USA, August 2001.
M. K. Smith, C. Welty, D. L. McGuinness, (eds.), “OWL Web Ontology Language Guide”, W3C Recommendation, February 2004.
N. F. Noy, M. A. Musen, “PROMPT: Algorithm and tool for automated ontology merging and alignment”, In Proceedings of the 17th National Conference on Artificial Intelligent (AAAI-2000), pp.450–455, Austin, TX, 2000.
Protégé. Project at Stanford University. http://protege.stanford.edu/, last visited: March 2006.
P. R. S. Visser, D. M. Jones, T. J. M. Bench-Capon, M. J. R. Shave, “An Analysis of Ontology Mismatches; Heterogeneity versus Interoperability”, American Association for Artificial Intelligence (AAAI 1997) Spring Symposium on Ontological Engineering, pp. 164–172, Stanford University, California, USA. 1997.
S. Melnik, H. Garcia-Molina, E. Rahm, “Similarity Flooding: A Versatile Graph Matching Algorithm and its Application to Schema Matching.” In Proceedings of the 18th International Conference on Data Engineering (ICDE’02), pp. 117–128, San Jose CA, 2002.
T. Berners-Lee, J. Hendler, and O. Lassila., “The Semantic Web”, Scientific American, Vol. 284, No. 5, pp. 34–43, May 2001.
T. R. Gruber, “A Translation Approach to Portable Ontology Specifications”, Knowledge Acquisition, Vol. 5, pp.199–220, June 1993.
X. Su, “A Text Categorization Perspective for Ontology Mapping.” Technical report, Department of Computer and Information Science, Norwegian University of Science and Technology, Norway, 2002.
X. Su, S. Hakkarainen, T. Brasethvik, “Semantic Enrichment for Improving Systems Interoperability.”, In Proceedings of the 19th ACM Symposium on Applied Computing (SAC 2004), pp. 1634–1641, 2004.
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Olgu, G., Elçi, A. (2006). Integrating Ontologies by means of Semantic Partitioning. In: Koné, M.T., Lemire, D. (eds) Canadian Semantic Web. Semantic Web and Beyond, vol 2. Springer, Boston, MA . https://doi.org/10.1007/978-0-387-34347-1_8
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DOI: https://doi.org/10.1007/978-0-387-34347-1_8
Publisher Name: Springer, Boston, MA
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