Abstract
Matching of concepts describing the meaning of data in heterogeneous distributed information sources, such as database schemas and other metadata models, grouped here under the heading of an ontology, is one of the basic operations of semantic heterogeneity reconciliation. The aim of this chapter is to motivate the need for ontology matching, introduce the basics of ontology matching, and then discuss several promising themes in the area as reflected in recent research works. In particular, we focus on such themes as uncertainty in ontology matching, matching ensembles, and matcher self-tuning. Finally, we outline some important directions for future research. © 2009 Springer Berlin Heidelberg.
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CITATION STYLE
Gal, A., & Shvaiko, P. (2008). Advances in ontology matching. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 4891 LNCS, pp. 176–198). Springer Verlag. https://doi.org/10.1007/978-3-540-89784-2_6
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