Incorporating semantics into data driven workflows for content based analysis

Arguello-Casteleiro, M and Fernandez-Prieto, MJ 2010, 'Incorporating semantics into data driven workflows for content based analysis' , in: Research and Development in Intelligent Systems XXVII , Springer, pp. 453-466.

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Finding meaningful associations between text elements and knowledge structures within clinical narratives in a highly verbal domain, such as psychiatry, is a challenging goal. The research presented here uses a small corpus of case histories and brings into play pre-existing knowledge, and therefore, complements other approaches that use large corpus (millions of words) and no pre-existing knowledge. The paper describes a variety of experiments for content-based analysis: Linguistic Analysis using NLP-oriented approaches, Sentiment Analysis, and Semantically Meaningful Analysis. Although it is not standard practice, the paper advocates providing automatic support to annotate the functionality as well as the data for each experiment by performing semantic annotation that uses OWL and OWL-S. Lessons learnt can be transmitted to legacy clinical databases facing the conversion of clinical narratives according to prominent Electronic Health Records standards.

Item Type: Book Section
Themes: Subjects outside of the University Themes
Schools: Schools > School of Humanities, Languages & Social Sciences > Centre for Translating and Interpreting
Publisher: Springer
Refereed: Yes
ISBN: 9780857291295
Depositing User: Users 29196 not found.
Date Deposited: 14 Dec 2011 09:43
Last Modified: 16 Feb 2022 13:50

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