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: 1605


Related Open Educational Resources

Related content

Report a problem or upload files

If you have found a problem with this lecture or would like to send us extra material, articles, exercises, etc., please use our ticket system to describe your request and upload the data.
Enter your e-mail into the 'Cc' field, and we will keep you updated with your request's status.
Lecture popularity: You need to login to cast your vote.


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.

See Also:

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

Help icon Streaming Video Help

Link this page

Would you like to put a link to this lecture on your homepage?
Go ahead! Copy the HTML snippet !

Write your own review or comment:

make sure you have javascript enabled or clear this field: