10 A Knowledgebase Model Using RDF Knowledge Graph for Clinical Decision Support Systems
Ravi Lourdusamy and Xavierlal J. Mattam*
Department of Computer Science, Sacred Heart College (Autonomous), Tirupattur, Tamil Nadu, India
Abstract
Clinical Decision Support Systems are used in healthcare to assist in making life-saving decisions. Therefore, such systems have to be efficient and reliable with relevant knowledge that is periodically updated. With vast knowledge available in medical literature and in websites, the challenge is in curating that knowledge on a knowledgebase to be used by the decision support system. In order to curate knowledge in a knowledgebase system the easiest method is to make use of the already well-developed relational database system. But that does not solve problems specially when it comes to representing knowledge having related concepts. Recently, the use of knowledge graphs has become popular for knowledge representation. The use of RDF triples in storing Knowledge Graphs is a convenient method of knowledgebase curation. With a centralized form of RDF Knowledge Graphs in a clinical decision support system, the required presentation of knowledge will become easier to handle. A model for such a knowledgebase is proposed in the chapter that make use of open information extraction systems to capture relevant knowledge from medical literature and curate that in the knowledgebase of the clinical decision support system.
Keywords: Knowledgebase, knowledge ...
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