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An ontology approach to data integration
Keywords:
Federated Databases, Ontology, Semantic HeterogeneityAbstract
The term Federated Databases refers to the data integration of distributed, autonomous and heterogeneous databases. However, a federation can also include information systems, not only databases. At integrating data, several issues must be addressed. Here, we focus on the problem of heterogeneity, more specifically on semantic heterogeneity that is, problems rela ted to semantically equivalent concepts or semantically related/unrelated concepts. In order to address this problem, we apply the idea of ontologies as a tool for data integration. In this paper, we explain this concept and we briefly describe a method for constructing an ontology by using a hybrid ontology approach.
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References
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[2] Cali, A., Calvanese, D., De Giacomo, G., Lenzerini., M., Naggar, P., Vernacotola, F. IBIS: Data Integration at1 Work (extended abstract). SEBD 2002.
[3] Cali, A., Calvanese, D., De Giacomo, G., Lenzerini., M. On the Role of Integrity Constraints in Data Integration. IEEE Computer Society Technical Committee on Data Engineering. 2002
[4] Arens, Y., Hsu, C., Knoblock, C. A. Query processing in the SIMS Information Mediator. Advanced Planning Technology, Austin Tate (Ed.), AAAI Press pp. 61-69, Menlo Park, CA, 1996.
[5] Brisaboa, N.R., Penabad, M.R., Places, A.S, Rodríguez, F.J. Ontologías en Federación de Bases de Datos.Novática (ISSN 0211-2124), pp. 45-53. Julio 2002.
[6] Buccella A., Cechich A. and Brisaboa N.R. “Applying an Ontology on Data Integration” , WICC’03, 5th Workshop de Investigadores de Ciencias de la Computacion. Universidad Nacional del Centro de Buenos Aires, Tandil –Argentina, pp. 99-102, Mayo 2003.
[7] Busse, S., Kutsche, R.-D., Leser, U., Weber H. Federated Information Systems: Concepts, Terminology and Architectures. Technical Report. Nr. 99-9, TU Berlin. April 1999.
[8] Carey, M. y colabor. Towards Heterogeneous Multimedia Information Systems: The Garlic Approach. Fifth International Workshop on (RIDE): Distributed Object Management. 1995.
[9] Chandrasekaran, B.; Josephson, R. What are ontologies, and why do we need them? In IEEE Inteligent systems, 1999.
[10] Chawathe, S., Garcia-Molina, H., Hammer, J., Ireland, K., Papakonstantinou, Y., Ullman, J., Widom, J. The TSIMMIS project: Integration of heterogenous information sources. 16th Meeting of the Information Processing Society of Japan, pp. 7-18, Tokyo, Japan. October 1994.
[11] Cheng Hian Goh. Representing and Reasoning about Semantic Conflicts in Heterogeneous Information Sources. Phd, MIT, 1997. http://ccs.mit.edu/ebb/peo/mad.html-03/2003.
[12] Constantinescu, C., Heinkel, U., Rantzau, R., Mistchang, B. SIES: An Approach for a Federated Information System in Manufacturing. www.informatik.uni-stuttgart.de/ipvr/as/ personen/constantinescu/ise2001.pdf -03/2003.
[13] Event/Process-Based Data Integration for the Gulf of Maine. Campobello Island, New Brunswick. June 12 – 14, 2002. www.spatial.maine.edu/~bdei/bdeippr.pdf -03/2003.
[14] Fowler, M. and Scott, K. UML distilled, Addison-Wesley 1997.
[15] Gruber, T. A translation approach to portable ontology specifications. Knowledge Acquisition 1993 -5(2): pp. 199–220. http://ksl-web.stanford.edu/KSL_Abstracts/KSL-92-71.html - 07/2003.
[16] Gruber T. Ontolingua: A Mechanism to Support Portable Ontologies. Knwoledge Systems Laboratory, Stanford University, Stanford, CA, Technical Report KSL 91-66. 1992.
[17] Hasselbring, W. Information System Integration. Comminications of the ACM. June 2000.
[18] IBM Federated Database Technology –www7b.boulder.ibm.com/dmdd/library/techarticle/023haas/0203haas.html – 07/2003.
[19] Haas, L. M., Miller, R. J., Niswonger, B., Tork Roth, M., Schwarz, P. M., Wimmers, E. L. Transforming Heterogeneous Data with Database Middleware: Beyond Integration. www.almaden.ibm.com/software/km/clio/clio.pdf -07/2003.
[20] Özsu, M.T., Valduriez, P. Principles of distributed database systems, 2nd edition, Prentice Hall, 1999.
[21] Quddus Chong, Judy Mullins, Rajesh Rajasekharan. An Ontology-based Metadata Management System for Heterogeneous Distributed Databases. CS590L – Winter 2002.
[22] Barlow, S. Data Integration. University of Passau. July 24, 2000.
[23] Rodriguez, A., Egenhofer, M. Determining Semantic Similarity among Entity Classes from Different Ontologies. IEEE Transactions on Knowledge and Data Engineering, vol. 15, no. 2, March/April 2003.
[24] Rodriguez, A., Egenhofer, M. Putting Similarity Assessments into Context: Matching Functions with the User's Intended Operations. Context 99, Lecture Notes in Computer Science, Springer-Verlag, September 1999.
[25] Tejada, S., Knoblock, C.A., Minton, S. Learning object identification rules for Information Integration. Information Systems Vol. 26, Nº 8, pp. 607-633, 2001.
[26] The ObjectGlobe Homepage. http://www.db.fmi.uni-passau.de:8000/projects/OG/ - 05/2003.
[27] Adams, T., Dullea, J., Clark, P., Sripada, S. and Barrett, T. Semantic Integration of Heterogeneous Information. Sources Using a Knowledge-Based System. In Proc 5th Int Conf on CS and Informatics (CS&I’2000), 2000.
[28] Tversky, A. Features of Similarity. Psychological Rev., vol. 84, (pp. 327-352). 1977.
[29] Visser, U., Stuckenschmidt, H., Schlieder, C. Interoperability in GIS – Enabling Technologies. 5th AGILE Conference on Geographic Information Science, Palma (Balearic Islands, Spain) April 25th-27th 2002
[30] Visser, U. and Schlieder, C. Modelling with Ontologies. In: The Ontology and Modeling of Real Estate Transactions in European Juristictions Ashgate - 2002, to appear
[31] Cui, Z. and O’Brien, P. Domain Ontology Management Environment. In Proceedings of the 33rd Hawaii International Conference on System Sciences - 2000
[32] Cui, Z., Jones, D. and O’Brien, P. Issues in Ontology-based Information Integration. IJCAI –Seattle, USA • August 5 2001.
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Published
2003-10-01
How to Cite
Buccella, A., Cechich, A., & Rodríguez Brisaboa, N. (2003). An ontology approach to data integration. Journal of Computer Science and Technology, 3(02), p. 62–68. Retrieved from https://journal.info.unlp.edu.ar/JCST/article/view/941
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