Towards data-driven ontologies: A filtering approach using keywords and natural language constructs

Creating ontologies is an expensive task. Our vision is that we can automatically generate ontologies based on a set of relevant documents to create a kick-start in ontology creating sessions. In this paper, we focus on enhancing two often used methods, OpenIE and cooccurrences. We evaluate the methods on two document sets, one about pizza and...

Cross language information retrieval for biomedical literature

This workshop report discusses the collaborative work of UT, EMC and TNO on the TREC Genomics Track 2007. The biomedical information retrieval task is approached using cross language methods, in which biomedical concept detection is combined with effective IR based on unigram language models. Furthermore, a co-occurrence method is used to select...