Using concept and structure similarities for ontology integration

We propose a method to align different ontologies in similar domains and then define correspondence between concepts in two different ontologies using the SKOS model. Introduction. Recently ontologies are created to provide knowledge representation. They use common representation languages such as OWL, but there are many heterogeneous ontologies [1–3]. In this paper we first propose a lexical and structural analysis and compute the concept similarity as a combination of attributes, second use the SKOS model to define correspondence between concepts[4]. Ontology Alignment Framework.To perform the matching between concepts in different ontologies, we focus both on syntactical and text in entity descriptions and also their semantic structure in the ontology representations. This process, illustrated in the block diagram shown in Figure 1, is divided into two main sub-tasks: Alignment and SKOS translation. The inputs are two ontologies and result of the process is an SKOS-based ontology that contains automatically defined associations.The alignment task analyses lexical and structural attributes of ontologies to automatically produce associations between concepts. The relation is defined: R(A,B) =< A,B,Relation,S(A,B) > where A and B are ontology concepts, Relation describe semantic relations between these concepts which have five types: equal beIncluded, include, disjoint, related, and S(A,B) is similarity measure for two concepts based on their structure and lexical analysis. Fig. 1. The ontology alignment process