Abstract
Most existing ontology mapping tools axe inexact. Inexact ontology mapping rules, if not rectified, result in imprecision in the applications that use them. We describe a framework to probabilistically improve existing ontology mappings using a Bayesian Network. OMEN, an Ontology Mapping ENhancer, is based on a set of meta-rules that captures the influence of the ontology structure and the existing matches to match nodes that are neighbours to matched nodes in the two ontologies. We have implemented a protype ontology matcher that can either map concepts across two input ontologies or enhance existing matches between ontology concepts. Preliminary experiments demonstrate that OMEN enhances existing ontology mappings in our test cases. © Springer-Verlag Berlin Heidelberg 2005.
Cite
CITATION STYLE
Mitra, P., Noy, N. F., & Jaiswal, A. R. (2005). OMEN: A probabilistic ontology mapping tool. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 3729 LNCS, pp. 537–547). https://doi.org/10.1007/11574620_39
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