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Review
. 2015 Aug 13;10(1):134-6.
doi: 10.15265/IY-2015-038.

Knowledge Representation and Management. From Ontology to Annotation. Findings from the Yearbook 2015 Section on Knowledge Representation and Management

J Charlet  1 , S J Darmoni
Affiliations
Review

Knowledge Representation and Management. From Ontology to Annotation. Findings from the Yearbook 2015 Section on Knowledge Representation and Management

J Charlet et al. Yearb Med Inform. .

Abstract

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 multilingual ontologies.

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

Keywords: Ontology; annotation; knowledge representation.

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References

    1. Choi S, Choi J, Yoo S, Kim H, Lee Y. Semantic concept-enriched dependence model for medical information retrieval. J Biomed Inform 2014. February;47:18-27. - PubMed
    1. Funk C, Baumgartner W, Jr, Garcia B, Roeder C, Bada M, Cohen KB, et al. Large-scale biomedical concept recognition: an evaluation of current automatic annotators and their parameters. BMC Bioinformatics 2014;15:59. - PMC - PubMed
    1. Clark K, Sharma D, Qin R, Chute CG, Tao C. A use case study on late stent thrombosis for ontology-based temporal reasoning and analysis. J Biomed Semantics 2014. December 11;5(1):49. - PMC - PubMed
    1. Dramé K, Diallo G, Delva F, Dartigues JF, Mouillet E, Salamon R, et al. Reuse of termino-ontological resources and text corpora for building a multilingual domain ontology: an application to Alzheimer’s disease. J Biomed Inform 2014. April;48:171-82. - PubMed
    1. Nichols BN, Mejino JL, Detwiler LT, Nilsen TT, Martone ME, Turner JA, et al. Neuroanatomical domain of the foundational model of anatomy ontology. J Biomed Semantics 2014. January 8;5(1):1. - PMC - PubMed