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Ontology Alignment Technique for Improving Semantic Integration

Mohammad Mustafa Taye, Nasser Alalwan

Open publisher page 3 citations

Abstract

A new technique for ontology alignment has been built by integrating important features of matching to achieve high quality results when searching and exchanging information between ontologies. The system is semiautomatic and enables syntactical and semantic interoperability among ontologies. Moreover, it is a multistrategy algorithm which can deal with and solve more than one critical problem. Therefore, it is likely to be more conveniently applicable in different domains. Also, we improve a semantic matcher based on combining lexical matcher with several rules and facts. Moreover, our technique illustrates the solving of the key issues related to heterogeneous ontologies, which uses combination-matching strategies to execute the ontology-matching task. Therefore, it can be used to discover the matching between ontologies. The main aim of the work is to introduce a method for finding semantic correspondences among heterogeneous ontologies, with the intention of supporting interoperability over given domains. Our goal is to achieve the highest number of accurate matches. Keywords-Ontology; Semantic Interoperability; Heterogeneous; Ontology Alignment.

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What this paper is about

A new technique for ontology alignment has been built by integrating important features of matching to achieve high quality results when searching and exchanging information between ontologies. The system is semiautomatic and enables syntactical and semantic interoperability among ontologies. Moreover, it is a multistrategy algorithm which can deal with and solve more than one critical problem. Therefore, it is likely to be more conveniently applicable in different domains. Also, we improve a semantic matcher based on combining lexical matcher with several rules and facts. Moreover, our technique illustrates the solving of the key issues related to heterogeneous ontologies, which uses combination-matching strategies to execute the ontology-matching task. Therefore, it can be used to discover the matching between ontologies. The main aim of the work is to introduce a method for finding semantic correspondences among heterogeneous ontologies, with the intention of supporting interoperability over given domains. Our goal is to achieve the highest number of accurate matches. Keywords-Ontology; Semantic Interoperability; Heterogeneous; Ontology Alignment.

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Available abstract

A new technique for ontology alignment has been built by integrating important features of matching to achieve high quality results when searching and exchanging information between ontologies. The system is semiautomatic and enables syntactical and semantic interoperability among ontologies. Moreover, it is a multistrategy algorithm which can deal with and solve more than one critical problem. Therefore, it is likely to be more conveniently applicable in different domains. Also, we improve a semantic matcher based on combining lexical matcher with several rules and facts. Moreover, our technique illustrates the solving of the key issues related to heterogeneous ontologies, which uses combination-matching strategies to execute the ontology-matching task. Therefore, it can be used to discover the matching between ontologies. The main aim of the work is to introduce a method for finding semantic correspondences among heterogeneous ontologies, with the intention of supporting interoperability over given domains. Our goal is to achieve the highest number of accurate matches. Keywords-Ontology; Semantic Interoperability; Heterogeneous; Ontology Alignment.

Key concepts: Computer science, Ontology, Ontology alignment, Semantic heterogeneity, Interoperability, Semantic interoperability, Upper ontology, Semantic integration

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