Towards a Statistical Approach to the Analysis, the Indexing, and the Semantic Search of Medical Videoconferences

Towards a Statistical Approach to the Analysis, the Indexing, and the Semantic Search of Medical Videoconferences

Ameni Yengui (MIRACL, University of Sfax, Sfax, Tunisia) and Mahmoud Neji (MIRACL, University of Sfax, Sfax, Tunisia)
Copyright: © 2017 |Pages: 24
DOI: 10.4018/IJIRR.2017070103
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Abstract

In this article, the authors introduce their OSSVIRI information retrieval system which composed of three modules. In the analysis module, they have proposed a statistical technique exploiting the word frequency in order to extract the simple, compound and specific terms from the documents. In the indexing module, the authors used the ontology to associate the terms with their concepts, retrieve the relations between them and disambiguate the concepts to improve the sematic content of the documents. The concepts and relations are represented as a conceptual graph. In the research module, the authors have proposed a technique of users' query reformulation based on external resources and users' profiles and a technique of pairing based on the combined expansion of the requests and the documents guided by the context of the requirement in information and the documentary contents. This system is validated using the metrics from the research information and comparisons with existing statistical approach. The authors show that their approach achieves good results.
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2. Background

The modules that are mostly studied are the indexing and the information retrieval. In this part, we deal with some previous work.

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