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Title:
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GRAPH BASED DISCOVERY IN BIOMEDICAL INFORMATION SYSTEMS CONNECTING SCIENTIFIC TEXTS WITH STRUCTURED EXPERT KNOWLEDGE |
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Author(s):
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Jens Dörpinghaus, Marc Jacobs and Juliane Fluck |
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ISBN:
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978-989-8533-74-6 |
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Editors:
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Miguel Baptista Nunes, Pedro Isaías and Philip Powell |
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Year:
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2018 |
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Edition:
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Single |
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Keywords:
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Knowledge Management, Knowledge Discovery, Graph Theory, Biomedical Information Systems, BEL |
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Type:
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Poster/Demonstration |
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First Page:
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297 |
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Last Page:
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299 |
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Language:
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English |
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Cover:
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Full Contents:
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click to dowload 
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Paper Abstract:
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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. |
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