This paper describes a novel approach of detecting misalignment at the time of aligning two different ontologies, and of eliminating the misalignments. Our objective is to reduce limitation of a specific technique of ontology alignment. Two aligned sets extracted by different alignment techniques from the same pair of ontology, are fed to the misalignment detection and elimination process to produce better alignments. Our experiments demonstrate that our method, taking advantage of misalignment detection and elimination, shows a good recall and precision. © Springer-Verlag Berlin Heidelberg 2006.
CITATION STYLE
Hanif, S. M., Seki, Y., & Aono, M. (2006). Automatic alignment of ontology eliminating the probable misalignments. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 4185 LNCS, pp. 212–218). Springer Verlag. https://doi.org/10.1007/11836025_22
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