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  4. Graph based discovery in biomedical information systems connecting scientific texts with structured expert knowledge
 
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2018
Conference Paper
Titel

Graph based discovery in biomedical information systems connecting scientific texts with structured expert knowledge

Abstract
In this poster we describe a novel approach for knowledge discovery in biomedical information systems utilizing the Biological Expression Language (BEL). This language is widely used for network-based approaches in text mining for a better understanding of biological mechanisms. Storing all relevant data of decomposed documents, the ontologies and BEL statements in Semantic Digital Assets (SDA) leads to a knowledge graph capable of answering semantic questions and making more biomedical knowledge available for analyses.
Author(s)
Dörpinghaus, J.
Jacobs, M.
Fluck, J.
Hauptwerk
11th IADIS International Conference Information Systems 2018, IS 2018
Konferenz
International Conference Information Systems (IS) 2018
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Language
English
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Fraunhofer-Institut für Algorithmen und Wissenschaftliches Rechnen SCAI
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