Using the Intension of Classes and Properties Definition in Ontologies for Word Sense Disambiguation

Authors:
Khaled Khelif;Fabien Gandon;Olivier Corby;Rose Dieng-Kuntz
Affiliations:
INRIA Sophia Antipolis Méditerranée, Sophia, France 06902;INRIA Sophia Antipolis Méditerranée, Sophia, France 06902;INRIA Sophia Antipolis Méditerranée, Sophia, France 06902;INRIA Sophia Antipolis Méditerranée, Sophia, France 06902
Venue:
EKAW '08 Proceedings of the 16th international conference on Knowledge Engineering: Practice and Patterns
Year:
2008

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Abstract

We present an ontology-driven word sense disambiguation process. The main idea consists of using the context of the ambiguous word to decide which class can be assigned to it. The disambiguation relies on similarities between classes assigned to the ambiguous word, classes assigned to terms close to it in the text, and on the type of properties that could occur between them. The computation of the similarity uses domain ontologies to provide semantic distances based on definitions in intension. We tested our approach in the extraction of annotations from biomedical texts.