Using semantic similarity for schema matching of semi-structured and linked data
Mohamed Salah Kettouch, Cristina Luca, Mike Hobbs, Sergiu M. Dascalu · 2017
This paper presents SimiMatch, an element based schema matching approach for semi-structured and Linked Data. It contributes towards a virtual data integration system that is able to provide transparent access to heterogeneous and autonomous sources. SimiMatch addresses the challenge of sustaining the continuous changes of a large-scale web of data through the use of semantic similarity measurement. The output is a domain-dependent global schema that is created and updated automatically through an unsupervised process. A test of the implementation and an evaluation of SimiMatch in three domains (movie, geographical and people data) demonstrate the effectiveness and the performance of the approach.