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International Conference on Theory and Practice of Digital Libraries

TPDL 2018: Digital Libraries for Open Knowledge pp 257–269Cite as

Scientific Claims Characterization for Claim-Based Analysis in Digital Libraries

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Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 11057))

Abstract

In this paper, we promote the idea of automatic semantic characterization of scientific claims to explore entity-entity relationships in Digital collections. Our proposed approach aims at alleviating time-consuming analysis of query results when the information need is not just one document but an overview over a set of documents. With the semantic characterization, we propose to find what we called “dominant” claims and rely on two core properties: the consensual support of a claim in the light of the collection’s previous knowledge as well as the authors’ assertiveness of the language used when expressing it. We will discuss useful features to efficiently capture these two core properties and formalize the idea of finding “dominant” claims by relying on Pareto dominance. We demonstrate the effectiveness of our method regarding quality by a practical evaluation using a real-world document collection from the medical domain to show the potential of our approach.

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Notes

  1. 1.

    https://www.crowdflower.com/

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Author information

Authors and Affiliations

  1. Institut für Informationssysteme, Mühlenpfordstrasse 23, 28106, Brunswick, Germany

    José María González Pinto & Wolf-Tilo Balke

Authors
  1. José María González Pinto
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  2. Wolf-Tilo Balke
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Corresponding author

Correspondence to José María González Pinto .

Editor information

Editors and Affiliations

  1. University Carlos III, Madrid, Spain

    Eva Méndez

  2. USI, Università della Svizzera Italiana, Lugano, Switzerland

    Fabio Crestani

  3. INESC TEC, Faculty of Engineering, University of Porto, Porto, Portugal

    Cristina Ribeiro

  4. INESC TEC, Faculty of Engineering, University of Porto, Porto, Portugal

    Gabriel David

  5. INESC TEC, Faculty of Engineering, University of Porto, Porto, Portugal

    João Correia Lopes

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González Pinto, J.M., Balke, WT. (2018). Scientific Claims Characterization for Claim-Based Analysis in Digital Libraries. In: Méndez, E., Crestani, F., Ribeiro, C., David, G., Lopes, J. (eds) Digital Libraries for Open Knowledge. TPDL 2018. Lecture Notes in Computer Science(), vol 11057. Springer, Cham. https://doi.org/10.1007/978-3-030-00066-0_22

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  • DOI: https://doi.org/10.1007/978-3-030-00066-0_22

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  • Print ISBN: 978-3-030-00065-3

  • Online ISBN: 978-3-030-00066-0

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