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Mining Biomedical Literature: An Open Source and Modular Approach

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Advances in Artificial Intelligence (Canadian AI 2016)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 9673))

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Abstract

This paper presents the ongoing development of a full-text natural language search engine for biomedical literature. The system aims to provide search on the full-text content of documents belonging to a database composed of scientific articles, while allowing users to submit their search queries using natural language. Beyond the text content of articles, the system engine also utilizes article metadata, empowering the search by considering extra information from picture and table captions. User queries can be submitted to the system in natural language, releasing the user from the burden of translating their search needs into a query language.

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Author information

Authors and Affiliations

  1. Centre for Structural and Functional Genomics, Concordia University, Montreal, QC, Canada

    Hayda Almeida & Marie-Jean Meurs

  2. NetMail, Montreal, QC, Canada

    Ludovic Jean-Louis

  3. Université du Québec à Montréal, Montreal, QC, Canada

    Marie-Jean Meurs

Authors
  1. Hayda Almeida
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  2. Ludovic Jean-Louis
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  3. Marie-Jean Meurs
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Corresponding author

Correspondence to Marie-Jean Meurs .

Editor information

Editors and Affiliations

  1. Lakehead University, Thunder Bay, Ontario, Canada

    Richard Khoury

  2. National Research Council Canada , Ottawa, Canada

    Christopher Drummond

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© 2016 Springer International Publishing Switzerland

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Almeida, H., Jean-Louis, L., Meurs, MJ. (2016). Mining Biomedical Literature: An Open Source and Modular Approach. In: Khoury, R., Drummond, C. (eds) Advances in Artificial Intelligence. Canadian AI 2016. Lecture Notes in Computer Science(), vol 9673. Springer, Cham. https://doi.org/10.1007/978-3-319-34111-8_22

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  • DOI: https://doi.org/10.1007/978-3-319-34111-8_22

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-34110-1

  • Online ISBN: 978-3-319-34111-8

  • eBook Packages: Computer ScienceComputer Science (R0)

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