A Flexible System for Ontology Matching

As shown in the figure, based on the similarities found from the similarity iterations, at phase 1 RinsMatch suggests matching the subject nodes (v1,v5), and they are merged to

However, unlike existing approaches, it addresses the multilingualism challenge by using (a) the Yandex translator 1 , (b) a translation into a pivot language after applying

We have compared the similarity among (i) the representative mapping sets from the harmonisation (see Section 2), (ii) the UMLS-based reference mappings of the track, and (iii)

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Since the high time and space complexity, most existing on- tology matching systems are not well scalable to solve the large ontology matching problem.. Moreover, the

In this paper we present a scenario for ontology matching posed by the Trentino Riscossioni S.p.A data integration system focusing the opportunity to enhance

Furthermore, when thinking of merging ontologies to one priority ontology, the research field of bioinformatics is of interest because of the need to investigate large