Biomedical resource discovery considering semantic heterogeneity in data grid environments*

Abstract

Informatics application in biomedicine accumulates large amount of data constituting a big data source network. These sources are highly heterogeneous, dynamic and distributed in large scale environments. Resource discovery in such environments presents an important step for the SQL-query processing. Many research studies have focused on this issue. However, structural heterogeneity problems have been more widely studied than semantic ones. In this paper, we deal with the resource discovery in large-scale environments (as data grid systems) considering data semantic heterogeneity of biomedical sources. The main advantages of the proposed resource discovery method are: (i) allowing a permanent access, through an addressing system, from any domain ontology DOi to another DOj (inter-domain discovery) despite peers' dynamicity, (ii) reducing the maintenance cost and (iii) taking into account the semantic heterogeneity. © Springer-Verlag Berlin Heidelberg 2011.