RiMOM results for OAEI 2016

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

The SimCat system implements a matcher based on the categories of the words and a translation based on Yandex engine to find the semantic correspondences between different concepts

In this section, we present the evaluation results obtained by running XMap under the SEALS client with Benchmark, Anatomy, Conference, Multifarm, Interactive matching evaluation,

We believe that due to the large amount of available geo-spatial datasets employed in Linked Data and in several domains, it is critical that benchmarks for geo-spatial link

In this section, we present the results obtained by running InsMT+ on instance matching track of OAEI 2015 evaluation campaign.. 2.1 Author

The system includes seven modules, i.e., Prepro- cess, Predicate Alignment, Mathcher Choosing, Candidate Pair Generation, Matching Score Calculation, Instance Alignment and

We present and discuss in this section the major works relevant to instance matching that participated at OAEI 2014 evaluation campaign. Only two systems succeed to finish