POMap results for OAEI 2017

Jim´enez-Ruiz, E., Cuenca Grau, B.: LogMap: Logic-based and Scalable Ontology Matching. In:

We were also unable to fully integrate the code for complex matching with the main AML code-base before the OAEI deadline, and thus participated in the Complex Match- ing track using

LogMap is one of the few ontology matching system that (i) can efficiently match semantically rich ontologies containing tens (and even hundreds) of thousands of classes,

AML was the only system to participate in all tracks this year, and was either the best performing or among the top performing systems in nearly all tasks, including the new

Once the entities are normalized, CroLOM uses the Yandex translator in order to trans- late the entities described in different natural languages in English as a pivot language..

K EPLER evaluation metrics among other pioneering systems for Multifarm track (different ontologies).. Whereas in the same ontologies case, the method occupies the first place with

LogMap is one of the few ontology matching system that (i) can efficiently match semantically rich ontologies containing tens (and even hundreds) of thousands of classes,

ONTMAT (ONTology MATching) is an ontology alignment tool, aiming to align OWL entities (classes, object properties i.e. binary relations), participating for the first