Abstract
However, if we want to have the applications using different ontologies to “talk” to one another, or if we want to integrate data that is annotated with or structured according to different ontologies, we must first find the correspondences between concepts in these ontologies. The process of finding such correspondences is called ontology mapping. Ontology mapping (also referred to as ontology matching, or ontology alignment) is one of the most active areas of ontology research. Creating high-quality ontology mappings automatically is the holy grail of the Semantic Web research. Ontologies have gained popularity in the AI community as a means for establishing explicit formal vocabulary to share between applications. Therefore, one can say that one of the goals of using ontologies is not to have the problem of heterogeneity at all. It is of course unrealistic to hope that there will be an agreement on one or even a small set of ontologies. While having some common ground either within an application area or for some high-level general concepts could alleviate the problem of semantic heterogeneity, we will still need to map between ontologies, whether they extend the same foundational ontology or are developed independently.
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Acknowledgements
Some portions of this chapter appeared as an article in SIGMOD Record in 2004. I would like to thank AnHai Doan, Michael Grüninger, and Yannis Kalfoglou for thoughtful and helpful comments on that article. Sean Falconer implemented many components of the Prompt plugin framework. Most important, I am extremely grateful to Mark Musen for the many years of guidance and support in this work.
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Noy, N.F. (2009). Ontology Mapping. In: Staab, S., Studer, R. (eds) Handbook on Ontologies. International Handbooks on Information Systems. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-92673-3_26
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