OMEN: A probabilistic ontology mapping tool

Prasenjit Mitra, Natasha F. Noy, Anuj Rattan Jaiswal

Research output: Chapter in Book/Report/Conference proceedingConference contribution

84 Scopus citations


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.

Original languageEnglish (US)
Title of host publicationThe Semantic Web, ISWC 2005 - 4th International Semantic Web Conference, ISWC 2005, Proceedings
Number of pages11
StatePublished - 2005
Event4th International Semantic Web Conference, ISWC 2005 - Galway, Ireland
Duration: Nov 6 2005Nov 10 2005

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume3729 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349


Other4th International Semantic Web Conference, ISWC 2005

All Science Journal Classification (ASJC) codes

  • Theoretical Computer Science
  • General Computer Science


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