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Development of Text Mining Tools for Information Retrieval from Patents

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11th International Conference on Practical Applications of Computational Biology & Bioinformatics (PACBB 2017)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 616))

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Abstract

Biomedical literature is composed of an ever increasing number of publications in natural language. Patents are a relevant fraction of those, being important sources of information due to all the curated data from the granting process. However, their unstructured data turns the search of information a challenging task. To surpass that, Biomedical text mining (BioTM) creates methodologies to search and structure that data. Several BioTM techniques can be applied to patents. From those, Information Retrieval is the process where relevant data is obtained from collections of documents. In this work, a patent pipeline was developed and integrated into @Note2, an open-source computational framework for BioTM. This integration allows to run further BioTM tools over the patent documents, including Information Extraction processes as Named Entity Recognition or Relation Extraction.

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Notes

  1. 1.

    http://anote-project.org/.

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Acknowledgments

This work is co-funded by the North Portugal Regional Operational Programme, under “Portugal 2020”, through the European Regional Development Fund (ERDF), within project SISBI- \(Ref^a\)NORTE-01-0247-FEDER-003381. This study was also supported by the Portuguese Foundation for Science and Technology (FCT) under the scope of the strategic funding of UID/BIO/04469/2013 unit and COMPETE 2020 (POCI-01-0145-FEDER-006684) and BioTecNorte (NORTE-01-0145-FEDER-000004) funded by European Regional Development Fund under the scope of Norte2020 - Programa Operacional Regional do Norte.

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Authors and Affiliations

  1. Centre Biological Engineering, University of Minho, 4710-057, Braga, Portugal

    Tiago Alves, Rúben Rodrigues & Miguel Rocha

  2. Silicolife Lda, 4715-387, Braga, Portugal

    Tiago Alves & Hugo Costa

Authors
  1. Tiago Alves
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  2. Rúben Rodrigues
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  3. Hugo Costa
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  4. Miguel Rocha
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Corresponding author

Correspondence to Tiago Alves .

Editor information

Editors and Affiliations

  1. Escuela Superior de Ingeniería Informática, Universidad de Vigo , Ourense, Spain

    Florentino Fdez-Riverola

  2. Faculty of Computing, Universiti Teknologi Malaysia , Johor, Johor, Malaysia

    Mohd Saberi Mohamad

  3. Department de Informática, Universidade do Minho , Braga, Portugal

    Miguel Rocha

  4. Departamento de Informática y Automática, Universidad de Salamanca , Salamanca, Spain

    Juan F. De Paz

  5. Departamento de Informática y Automática, Universidad de Salamanca , Salamanca, Spain

    Tiago Pinto

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Alves, T., Rodrigues, R., Costa, H., Rocha, M. (2017). Development of Text Mining Tools for Information Retrieval from Patents. In: Fdez-Riverola, F., Mohamad, M., Rocha, M., De Paz, J., Pinto, T. (eds) 11th International Conference on Practical Applications of Computational Biology & Bioinformatics. PACBB 2017. Advances in Intelligent Systems and Computing, vol 616. Springer, Cham. https://doi.org/10.1007/978-3-319-60816-7_9

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  • DOI: https://doi.org/10.1007/978-3-319-60816-7_9

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