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A Cooperative Approach for Composite Ontology Matching
May 2009
ontology matching
Ontologies have proven to be an essential element in a range of applications in which knowledge plays a key role. Resolving the semantic heterogeneity problem is crucial to allow the interoperability between ontology-based systems. Many different approaches to the matching problem have emerged from the literature. An innovative and promising option is to formalize the combination of matching techniques using agent-based approaches, such as cooperative negotiation and argumentation. In this thesis, the formalization of the ontology matching problem following an agent-based approach is proposed. Such proposal is evaluated using state-of-the-art data sets. The results show that the consensus obtained by negotiation and argumentation represent intermediary values which are closer to the best matcher. As the best matcher may vary depending on specific differences of multiple data sets, cooperative approaches are an advantage.
Ph. D. dissertation
Cássia Trojahn dos Santos
Paulo Quaresma
University of Évora
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Cássia Trojahn dos Santos, A Cooperative Approach for Composite Ontology Matching, Paulo Quaresma (superv.), University of Évora, May 2009.
<b>Cássia Trojahn dos Santos</b>, <u>A Cooperative Approach for Composite Ontology Matching</u>, <a href="/people/members/view.php?code=6bbcbe7fa6571e2b3156f86d78f40c8a" class="supervisor">Paulo Quaresma</a> (superv.), University of Évora, May 2009.
@phdthesis {ontology matching, author = {C{\'a}ssia Trojahn dos Santos}, title = {A Cooperative Approach for Composite Ontology Matching}, school = {University of {\'E}vora}, note = {Paulo Quaresma (superv.); }, abstract = {Ontologies have proven to be an essential element in a range of applications in which knowledge plays a key role. Resolving the semantic heterogeneity problem is crucial to allow the interoperability between ontology-based systems. Many different approaches to the matching problem have emerged from the literature. An innovative and promising option is to formalize the combination of matching techniques using agent-based approaches, such as cooperative negotiation and argumentation. In this thesis, the formalization of the ontology matching problem following an agent-based approach is proposed. Such proposal is evaluated using state-of-the-art data sets. The results show that the consensus obtained by negotiation and argumentation represent intermediary values which are closer to the best matcher. As the best matcher may vary depending on specific differences of multiple data sets, cooperative approaches are an advantage.}, month = {May}, year = {2009}, }
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