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Biomedical Literature Exploration through Latent Semantics

Author(s): Sérgio MATOS | Hugo ARAÚJO | José Luís OLIVEIRA

Journal: ADCAIJ : Advances in Distributed Computing and Artificial Intelligence Journal
ISSN 2255-2863

Volume: 1;
Issue: 5;
Start page: 65;
Date: 2013;
Original page

Keywords: Information Retrieval | Literature Exploration | Latent Semantic Analysis

The fast increasing amount of articles published in the biomedical field is creating difficulties in the way this wealth of information can be efficiently exploited by researchers. As a way of overcoming these limitations and potentiating a more efficient use of the literature, we propose an approach for structuring the results of a literature search based on the latent semantic information extracted from a corpus. Moreover, we show how the results of the Latent Semantic Analysis method can be adapted so as to evidence differences between results of different searches. We also propose different visualization techniques that can be applied to explore these results. Used in combination, these techniques could empower users with tools for literature guided knowledge exploration and discovery.
RPA Switzerland

Robotic Process Automation Switzerland


Tango Jona
Tangokurs Rapperswil-Jona