Abstract
In this paper, we present a heuristic mapping method and a prototype mapping system that support the process of semi-automatic ontology mapping for the purpose of improving semantic interoperability in heterogeneous systems. The approach is based on the idea of semantic enrichment, i.e. using instance information of the ontology to enrich the original ontology and calculate similarities between concepts in two ontologies. The functional settings for the mapping system are discussed and the evaluation of the prototype implementation of the approach is reported.
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References
Agrawal, R., Srikant, R.: On integrating catalogs. In: Proceeding of the WWW-11, Hong Kong (2001)
Bergamaschi, S., Castano, S., Vincini, M.: Semantic integration of semistructured and structured data sources. SIGMOD Record 28(1), 54–59 (1999)
Berners-Lee, T.: The semantic web. Scientific american 284(5), 35–43 (2001)
Brasethvik, T., Gulla, J.A.: Natural language analysis for semantic document modeling. Data & knowledge Engineering 38(1), 45–62 (2001)
Didion, J.: Jwnl (java wordnet library) (2004), http://sourceforge.net/projects/jwordnet/
DublinCore, http://www.dublincore.org
Fellbaum, C.: WordNet: An Electronic Lexical Database. MIT Press, Cambridge (1998)
Fensel, D., Ding, Y., Omelayenko, B., Schulten, E., Botquin, G., Brown, M., Flett, A.: Product data integration in b2b e-commerce. IEEE Intelligent Systems (Special Issue on Intelligent E-Business) 16(4), 54–59 (2001)
Google (2004)
Sari Hakkarainen. Dynamic aspect and semantic enrichment in schema comparison. PhD thesis, Stockholm University (1999)
Kaada, H.: Linguistic workbench for document analysis and text data mining. Master’s thesis, Norwegian University of Science and Technology (2002)
Madhavan, J., Bernstein, P.A., Rahm, E.: Generic schema matching using cupid. In: Proceeding of Very Large Database Conference (VLDB) 2001 (2001)
Malone, T.W., Crowston, K., Lee, J., Pentland, B.: Tools for inventing organizations: Toward a handbook of organizational processes. Technical Report 141, MIT (1993)
McGuinness, D., Fikes, R., Rice, J., Wilder, S.: An environment for merging and testing large ontologies. In: Proceedings of the 7th International Conference on Principles of Knowledge Representation and Reasoning, Colorado, USA (2000)
Mena, E., Illarramendi, A., Kashyap, V., Sheth, A.P.: Observer: an approach for query processing in global infomation systems based on interoperation across pre-exist ontologies. International journal on distributed and parallel databases 8(2), 223–271 (2000)
Fridman Noy, N., Musen, M.A.: Prompt: algorithm and tool for automated ontology merging and alignment. In: Proceeding of American Association for Artificial Intelligence (AAAI) (2000)
Palopoli, L., Terracina, G., Ursino, D.: The system dike: Towards the semi-automatic synthesis of cooperative information systems and data warehouses. In: ADBIS-DASFAA Symposium 2000, pp. 108–117. Matfyz Press (2000)
Rahm, E., Bernstein, P.A.: A survey of approaches to automatic schema matching. The VLDB Journal 10, 334–350 (2001)
Salton, G., McGill, M.J.: An Introduction to Modern Information Retrieval. McGraw-Hill, New York (1983)
Solvberg, A.: Data and what they refer to. In: Chen, P.P. (ed.) Concept Modeling: Historical Perspectives and Future Trends, Springer, Heidelberg (1998)
Stumme, G., Maedche, A.: Fca-merge: Bottom-up merging of ontologies. In: Proceedings of the International Joint Conference on Artificial Intelligence IJCAI 2001, Seattle, USA (2001)
Su, X., Hakkarainen, S., Brasethvik, T.: Semantic enrichment for improving systems interoperability. In: Proceeding of the 2004 ACM Symposium on Applied Computing, Nicosia, Cyprus, pp. 1634–1641. ACM Press, New York (2004)
Valente, A., Russ, T., MacGrecor, R., Swartout, W.: Building and (re)using an ontology for air campaign planning. IEEE Intelligent Systems 14(1), 27–36 (1999)
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Su, X., Gulla, J.A. (2004). Semantic Enrichment for Ontology Mapping. In: Meziane, F., Métais, E. (eds) Natural Language Processing and Information Systems. NLDB 2004. Lecture Notes in Computer Science, vol 3136. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-27779-8_19
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DOI: https://doi.org/10.1007/978-3-540-27779-8_19
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-22564-5
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