Authors:
Angela Locoro
and
Viviana Mascardi
Affiliation:
University of Genoa, Italy
Keyword(s):
Ontology matching, Upper ontologies, Correspondences repair, Word sense disambiguation.
Related
Ontology
Subjects/Areas/Topics:
Applications
;
Artificial Intelligence
;
Knowledge Engineering and Ontology Development
;
Knowledge Representation
;
Knowledge-Based Systems
;
Natural Language Processing
;
Ontology Matching and Alignment
;
Pattern Recognition
;
Symbolic Systems
Abstract:
Abstract: In an ideal world, an ontology matching algorithm should return all the correct correspondences (it should be complete) and should return no wrong correspondences (it should be correct). In the real world, no implemented ontology matching algorithm is both correct and complete. For this reason, repairing wrong correspondences in an ontology alignment is a very pressing need to obtain more accurate alignments. This paper discusses an automatic correspondence repair method that exploits both upper ontologies to provide informative context to concepts cϵo and c'ϵo' belonging to an alignment a, and a context-based word sense disambiguation algorithm to assign c and c' their correct meaning. This meaning is used to decide whether c and c' are related, and to either keep or discard the correspondence < c;c' >ϵa, namely, to repair a. The experiments carried on are presented and the obtained results are provided. The advantages of the approach we propose are confirmed by a total av
erage gain of 11,5% in precision for the alignments repaired against a 2% total average error.
(More)