The SNIK Graph: Visualization of a Medical Informatics Ontology.

Hospital Information Systems Information Management Semantic Web

Journal

Studies in health technology and informatics
ISSN: 1879-8365
Titre abrégé: Stud Health Technol Inform
Pays: Netherlands
ID NLM: 9214582

Informations de publication

Date de publication:
21 Aug 2019
Historique:
entrez: 24 8 2019
pubmed: 24 8 2019
medline: 17 9 2019
Statut: ppublish

Résumé

SNIK, a medical informatics ontology, combines knowledge from different literature sources dealing with the management of hospital information systems (HIS). Concepts and relations were extracted from literature, modeled as an ontology and visualized as a graph on a website. We demonstrate the potential of the graph visualization for tuitional scenarios. SNIK complements teaching and learning with conventional literature by concentrating knowledge that is scattered over different pieces of text around one node of a graph.

Identifiants

pubmed: 31438418
pii: SHTI190724
doi: 10.3233/SHTI190724
doi:

Types de publication

Journal Article

Langues

eng

Pagination

1941-1942

Auteurs

Franziska Jahn (F)

Institute of Medical Informatics, Statistics and Epidemiology, Leipzig University, Germany.

Konrad Höffner (K)

Institute of Medical Informatics, Statistics and Epidemiology, Leipzig University, Germany.

Birgit Schneider (B)

Institute of Medical Informatics, Statistics and Epidemiology, Leipzig University, Germany.

Anna Lörke (A)

Institute of Medical Informatics, Statistics and Epidemiology, Leipzig University, Germany.

Thomas Pause (T)

Institute of Medical Informatics, Statistics and Epidemiology, Leipzig University, Germany.

Elske Ammenwerth (E)

Institute of Medical Informatics, UMIT - University for Health Sciences, Medical Informatics and Technology, Hall in Tirol, Austria.

Alfred Winter (A)

Institute of Medical Informatics, Statistics and Epidemiology, Leipzig University, Germany.

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Classifications MeSH