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Information Extraction in Editorial Setting. A Tale of PDFs

  • Conference paper
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The Semantic Web: ESWC 2019 Satellite Events (ESWC 2019)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 11762))

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Abstract

In the last decade the Semantic Web initiative has promoted the construction of knowledge resources that are understandable by both humans and machines. Nonetheless considerable scientific and technical content is still locked behind proprietary formats, especially PDF files. While many solutions have been proposed to shift the publishing mechanism to more accessible formats, we believe that is paramount, especially in business scenarios, to be able to tap into this type of content and be able to extract machine readable semantic information from it.

In this demo we show how we can process and semantically annotate Medication Package Inserts, publicly available from the pharmaceutical companies in the form of PDF files. Our proposed solution is fully integrated with a standard PDF viewer and does not require the subject matter expert to use any external software.

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Notes

  1. 1.

    https://www.springernature.com/scigraph.

  2. 2.

    http://data.elsevier.com/documentation/index.html.

  3. 3.

    https://www.fda.gov/.

  4. 4.

    https://dailymed.nlm.nih.gov/dailymed.

  5. 5.

    https://www.meddra.org.

  6. 6.

    https://get.adobe.com/reader/.

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Author information

Authors and Affiliations

  1. IBM Research Almaden, San Jose, CA, USA

    Anna Lisa Gentile, Daniel Gruhl, Petar Ristoski & Steve Welch

Authors
  1. Anna Lisa Gentile
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  2. Daniel Gruhl
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  3. Petar Ristoski
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  4. Steve Welch
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Corresponding author

Correspondence to Anna Lisa Gentile .

Editor information

Editors and Affiliations

  1. Kansas State University, Manhattan, KS, USA

    Pascal Hitzler

  2. Vienna University of Economics and Business, Vienna, Austria

    Sabrina Kirrane

  3. Linköping University, Linköping, Sweden

    Olaf Hartig

  4. Vrije Universiteit Amsterdam, Amsterdam, The Netherlands

    Victor de Boer

  5. Leibniz Information Centre for Science and Technology University Library (TIB), Hannover, Germany

    Maria-Esther Vidal

  6. University of Bonn, Bonn, Germany

    Maria Maleshkova

  7. Vrije Universiteit Amsterdam, Amsterdam, The Netherlands

    Stefan Schlobach

  8. Jönköping University, Jönköping, Sweden

    Karl Hammar

  9. F. Hoffmann-La Roche AG, Basel, Switzerland

    Nelia Lasierra

  10. Robert Bosch GmbH, Stuttgart, Germany

    Steffen Stadtmüller

  11. Aalborg University, Aalborg, Denmark

    Katja Hose

  12. IMEC, Ghent University, Ghent, Belgium

    Ruben Verborgh

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Gentile, A.L., Gruhl, D., Ristoski, P., Welch, S. (2019). Information Extraction in Editorial Setting. A Tale of PDFs. In: Hitzler, P., et al. The Semantic Web: ESWC 2019 Satellite Events. ESWC 2019. Lecture Notes in Computer Science(), vol 11762. Springer, Cham. https://doi.org/10.1007/978-3-030-32327-1_14

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  • DOI: https://doi.org/10.1007/978-3-030-32327-1_14

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-32326-4

  • Online ISBN: 978-3-030-32327-1

  • eBook Packages: Computer ScienceComputer Science (R0)

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