Abstract
Ontology alignment is the process of finding corresponding entities with the same intended meaning in different ontologies. In scenarios where an ontology conceptually describes the contents of a data repository, this provides valuable information for the purpose of semantic data integration which, in turn, is a fundamental issue for improving business intelligence. A basic, yet unsolved, issue in semantic data integration is how to ensure that only data related to the same real-world entity is merged. This requires that each concept is precisely defined into the ontology. From another perspective, foundational ontologies describe very general concepts independent of a particular domain, and precisely define concept meta-properties so as to make the semantics of each concept in the ontology explicit. In this paper, we discuss how the use of foundational ontology can improve the precision of the ontology alignment, and illustrate some examples using the UFO foundational ontology.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Ziegler, P., Dittrich, K.R.: Data Integration - Problems, Approaches, and Perspectives. In: Krogstie, J., Opdahl, A.L., Brinkkemper, S. (eds.) Conceptual Modelling in Information Systems Engineering, pp. 39ā58. Springer, Heidelberg (2007)
Guizzardi, G., GraƧas, A.P., Guizzardi, R.S.S.: Design Patterns and Inductive Modelling Rules to Support the Construction of Ontologically Well-Founded Conceptual Models in OntoUML. In: 3rd International Workshop on Ontology-Driven Information Systems (ODISE 2011), London, UK (2011)
Ouksel, A.M., Sheth, A.P.: Semantic Interoperability in Global Information Systems: A Brief Introduction to the Research Area and the Special Section. SIGMOD RecordĀ 28(1), 5ā12 (1999)
Silva, V.S., Campos, M.L.M., Silva, J.C.P., Cavalcanti, M.C.: An Approach for the Alignment of Biomedical Ontologies based on Foundational Ontologies. Journal of Information and Data ManagementĀ 2(3), 557ā572 (2011)
GonƧalves, B., Guizzardi, G., Pereira Filho, J.G.: Using an ECG reference ontology for semantic interoperability of ECG data. Journal of Biomedical InformaticsĀ 44, 126ā136 (2011)
Guarino, N.: Semantic Matching: Formal Ontological Distinctions for Information Organization, Extraction and Integration (1998)
Gruber, T.R.: Toward Principles for the Design of Ontologies Used for Knowledge Sharing. International Journal of Human and Computer StudiesĀ 43(5/6), 907ā928 (1995)
Guizzardi, G.: Ontological Foundations for Structural Conceptual Models Ph.D. Thesis, University of Twente, The Netherlands (2005)
Ehrig, M.: Ontology Alignment: Bridging the Semantic Gap. Springer (2007)
Euzenat, J., Shvaiko, P.: Ontology Matching. Springer (2007)
Euzenat, J., Meilicke, C., Stuckenschmidt, H., Shvaiko, P., Trojahn, C.: Ontology Alignment Evaluation Initiative: Six Years of Experience. In: Spaccapietra, S. (ed.) Journal on Data Semantics XV. LNCS, vol.Ā 6720, pp. 158ā192. Springer, Heidelberg (2011)
Mascardi, V., Locoro, A., Rosso, P.: Automatic Ontology Matching Via Upper Ontologies: A Systematic Evaluation. IEEE Transactions on Knowledge and Data EngineeringĀ 22(5), 609ā623 (2010)
Ziegler, P., Dittrich, K.R.: User-Specific Semantic Integration of Heterogeneous Data: The SIRUP Approach. In: Bouzeghoub, M., Goble, C.A., Kashyap, V., Spaccapietra, S. (eds.) ICSNW 2004. LNCS, vol.Ā 3226, pp. 44ā64. Springer, Heidelberg (2004)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
Ā© 2012 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Padilha, N.F., BaiĆ£o, F., Revoredo, K. (2012). Ontology Alignment for Semantic Data Integration through Foundational Ontologies. In: Castano, S., Vassiliadis, P., Lakshmanan, L.V., Lee, M.L. (eds) Advances in Conceptual Modeling. ER 2012. Lecture Notes in Computer Science, vol 7518. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-33999-8_21
Download citation
DOI: https://doi.org/10.1007/978-3-642-33999-8_21
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-33998-1
Online ISBN: 978-3-642-33999-8
eBook Packages: Computer ScienceComputer Science (R0)