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by Dietrich Rebholz-Schuhmann
The biomedical research community stores research results on biological entities in large-scale databases for their experimental data analysis and, in addition, produces semantic resources such as ontologies for the annotation of the entities. For automatic literature analysis, we exploit these resources to improve information retrieval, information extraction, ontology development and the discovery of new knowledge. As a result, the literature research team at the European Bioinformatics Institute has established state of the art solutions for high-throughput analyses of the literature. Current developments lead towards semantic interoperability through standardised data resources, e.g. large-scale annotated corpora, state of the art terminological resources and linked open data. The presentation will have a focus on the benefits (and limitations) of the existing ontological resources and will describe several solutions, how the conceptual knowledge can be successfully exploited to filter out relevant information from the scientific literature. The presentation will discuss ongoing efforts to deliver gene-disease associations from different resources exploiting semantic interoperability.