This paper proposes lexical annotation as an effective method to solve the ambiguity problems that affect ontology matchers. Lexical annotation associates to each ontology element a set of meanings belonging to a semantic resource. Performing lexical annotation on the ontologies involved in the matching process allows to detect false positive mappings and to enrich matching results by adding new mappings (i.e. lexical relationships between elements on the basis of the semantic relationships holding among meanings).The paper will go through the explanation of how to apply lexical annotation on a matcher. In particular, we show an application on the SCARLET matcher.Experiments yielded promising results, showing that lexical annotation improves the precision of the matcher.
Automatic Lexical Annotation Applied to the SCARLET Ontology Matcher (Extended Abstract) / Po, Laura. - STAMPA. - (2010), pp. 18-25. (Intervento presentato al convegno 18th Italian Symposium on Advanced Database Systems, SEBD 2010 tenutosi a Rimini, Italy nel June 20th - 23rd 2010).
Automatic Lexical Annotation Applied to the SCARLET Ontology Matcher (Extended Abstract)
PO, Laura
2010
Abstract
This paper proposes lexical annotation as an effective method to solve the ambiguity problems that affect ontology matchers. Lexical annotation associates to each ontology element a set of meanings belonging to a semantic resource. Performing lexical annotation on the ontologies involved in the matching process allows to detect false positive mappings and to enrich matching results by adding new mappings (i.e. lexical relationships between elements on the basis of the semantic relationships holding among meanings).The paper will go through the explanation of how to apply lexical annotation on a matcher. In particular, we show an application on the SCARLET matcher.Experiments yielded promising results, showing that lexical annotation improves the precision of the matcher.File | Dimensione | Formato | |
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SEBD_2010.pdf
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SEBD_2010_POSTPRINT.pdf
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