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

 
: Dörpinghaus, J.; Jacobs, M.; Fluck, J.

International Association for Development of the Information Society -IADIS-:
11th IADIS International Conference Information Systems 2018, IS 2018 : Lisbon, Portugal, April 14-16, 2018
Lisbon: IADIS, 2018
ISBN: 978-989-8533-74-6
pp.297-299
International Conference Information Systems (IS) <11, 2018, Lisbon>
English
Conference Paper
Fraunhofer SCAI ()

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.

: http://publica.fraunhofer.de/documents/N-520872.html