While ITG has many desirable properties for word alignment, it still suffers from the limitation of one-to-one matching. While existing approaches relax this limitation using phra...
A machine learning method is introduced here to improve the accuracy of brain registration. Generally, different brain regions might need different types or sets of features for r...
In the course of reviewing existing automatic term recognition techniques for applications in ontology learning, we came across four issues which can be improved upon. We proposed...
Schema heterogeneity issues often represent an obstacle for discovering coreference links between individuals in semantic data repositories. In this paper we present an approach, w...
Andriy Nikolov, Victoria S. Uren, Enrico Motta, An...
Our ontology schema matching algorithm takes the essence of the locality of reference by considering the neighboring concepts and relations to align the entities of ontologies. It ...