Authors:
Vahed Qazvinian
;
Hassan Abolhassani
and
S. Hossein Haeri
Affiliation:
Sharif University of Technology, Iran, Islamic Republic of
Keyword(s):
Ontology Matching, Ontology Aligning, Coincidence Based Matching, Alignment Extraction, Genetic Algorithm.
Related
Ontology
Subjects/Areas/Topics:
Ontology and the Semantic Web
;
Web Information Systems and Technologies
;
Web Interfaces and Applications
Abstract:
Ontology Aligning is an answer to the problem of handling heterogenous information on different domains.
After application of some measures, one reaches a set of similarity values. The final goal is to extract mappings.
Our contribution is to introduce a new genetic algorithm (GA) based extraction method. The GA, employs a structured based weighting model, named “coincidence based model”, as its fitness function. In the first part of the paper, some preliminaries and notations are given and then we introduce the coincidence based weighting. In the second part the paper discusses the details of the devised GA with the evaluation results for a sample dataset.