A flexible data integration framework using ontology similarity

Abstract

In order to support for collaborative work between different individuals, teams, or organizations, data and their structures need to be frequently exchanged and integrated from one system to the other system. In this context, it is very significant and valuable to find out a fast way for achieving data integration. In this paper, we present a flexible approach for the framework of rapid data integration based on ontology similarity with language-agnostic. This is done first by extracting ontology from database, constructing the elementary semantic entities of ontology. Then, ontology similarity calculation is carried out to judge whether two ontologies are equivalent or not. We exploit the improved edit distance algorithm as the basic function for ontology similarity, and detail the intelligent framework of rapid data integration by web service. Finally, a system is developed to realize rapid data integration for two teams in a real collaborative project and the feasibility analysis is processed. It shows the high efficiency and flexibility of our approach. © 2012 Binary Information Press.