LPHOM results for OAEI 2016

The adaptations made for the evaluation were: the preprocessing of cross-references from Uberon and DOID for use in the Anatomy and Large Biomedical Ontologies tracks, due 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

As individual basic matcher computes similarity between entities using information obtained from one or more components of the entire ontology, all individual

The main strength of DisMatch (and its distributional semantic relatedness component) is its ability of finding non-trivial mappings, which seems to be confirmed by the number of

For building an effective ontology merging algorithm, it is essential to incorporate ontological error checking during the validation of ontology mapping process and

Secondly, relation-based formal context describes how classes are in taxo- nomic or disjoint relationships with the anchors, leading to positive and negative structural evidence

Generic ontology matching method The similarity computation is based on the semantic subgraphs, which means all the information used in the simi- larity computation comes from

For the cross-lingual ontology matching, at first every token of a given label s in in the source ontology S is enriched by related terms and synonyms from BabelNet and all of