Biomedical Literature Exploration through Latent Semantics

Biomedical Literature Exploration through Latent Semantics

Authors:
Sérgio MATOS, Hugo ARAÚJO, José Luís OLIVEIRA

DOI:
10.14201/ADCAIJ2013256574

Volume:
Regular Issue 2 (2), 2013

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.

JCR

Position in 2022 Journal Citation Indicator (JCI) Ranking:
Category COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE


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