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Automatic Background Knowledge Selection for Matching Biomedical Ontologies
2014
PLoS ONE
Ontology matching is a growing field of research that is of critical importance for the semantic web initiative. The use of background knowledge for ontology matching is often a key factor for success, particularly in complex and lexically rich domains such as the life sciences. However, in most ontology matching systems, the background knowledge sources are either predefined by the system or have to be provided by the user. In this paper, we present a novel methodology for automatically
doi:10.1371/journal.pone.0111226
pmid:25379899
pmcid:PMC4224389
fatcat:65cj5oabkvdu7nt2qdpkvpeqni