Towards a Semantic Clinical Data Warehouse: A Case Study of Discovering Similar Genes

author: Benedikt Kämpgen, Institute of Applied Informatics and Formal Description Methods (AIFB), Karlsruhe Institute of Technology (KIT)
published: July 15, 2015,   recorded: May 2015,   views: 10
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Description

Physicians nowadays have to consider a diverse range of data sources when treating a patient. Semantic clinical data warehouses allow to easily add new data and to pro-actively help the physician making sense of the data. In this work-in-progress paper we investigate an approach of using Linked Data as the access mechanism and a graph database for storage and query processing. We describe lessons learned from a case study of discovering similar genes where we use an existing similarity metric to derive new information, the Gene Ontology as a data source, and SAP HANA as an efficient graph database.

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Download slides icon Download slides: eswc2015_kaempgen_similar_genes_01.pdf (298.4 KB)


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