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Fig. 2 | BMC Medical Informatics and Decision Making

Fig. 2

From: Expediting knowledge acquisition by a web framework for Knowledge Graph Exploration and Visualization (KGEV): case studies on COVID-19 and Human Phenotype Ontology

Fig. 2

Database schema for KGEV. The database has three types of entities: ITEMs, TEXTs, and DOCUMENTs. The properties stored for each item type are shown in the green panels. The “IN DOCUMENT” relationship connects a TEXT item (e.g. article sentence) to its corresponding DOCUMENT (e.g. article). ITEMs are connected through SemRep relationships (TREATS, CAUSES, INTERACTS_WITH, etc.) in our COVID-19 example. Given a SemRep triple (ITEM—> SEMREP RELATIONSHIP—> ITEM), corresponding/supporting texts can be retrieved by joining the Source Text ID property of the triple’s edge to the TEXT entity with that ID

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BMC Medical Informatics and Decision Making

ISSN: 1472-6947

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