Yearb Med Inform 2015; 24(01): 134-136
DOI: 10.15265/IY-2015-038
Original Article
Georg Thieme Verlag KG Stuttgart

Knowledge Representation and Management. From Ontology to Annotation

Findings from the Yearbook 2015 Section on Knowledge Representation and Management
J. Charlet
1  AP-HP, Dept. of Clinical Research and Development, Paris, France
2  INSERM, U1142, LIMICS, Paris, France; Sorbonne Universités, UPMC Univ Paris 06, UMR_S 1142, LIMICS, Paris, France; Université Paris 13, Sorbonne Paris Cité, LIMICS, (UMR_S 1142), Villetaneuse, France
,
S.J. Darmoni
2  INSERM, U1142, LIMICS, Paris, France; Sorbonne Universités, UPMC Univ Paris 06, UMR_S 1142, LIMICS, Paris, France; Université Paris 13, Sorbonne Paris Cité, LIMICS, (UMR_S 1142), Villetaneuse, France
3  Department of Biomedical Informatics, Rouen University Hospital, Normandy & TIBS, LITIS EA 4108, Institute for Research and Innovation in Biomedicine, Rouen, France
,
Section Editors for the IMIA Yearbook Section on Knowledge Representation and Management› Author Affiliations
Further Information

Publication History

13 August 2015

Publication Date:
10 March 2018 (online)

Summary

Objective: To summarize the best papers in the field of Knowledge Representation and Management (KRM).

Methods: A comprehensive review of medical informatics literature was performed to select some of the most interesting papers of KRM published in 2014.

Results: Four articles were selected, two focused on annotation and information retrieval using an ontology. The two others focused mainly on ontologies, one dealing with the usage of a temporal ontology in order to analyze the content of narrative document, one describing a methodology for building multi-lingual ontologies.

Conclusion: Semantic models began to show their efficiency, coupled with annotation tools.