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European Semantic Web Conference

ESWC 2019: The Semantic Web pp 162–178Cite as

Generating Semantic Aspects for Queries

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Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 11503))

Abstract

Large document collections can be hard to explore if the user presents her information need in a limited set of keywords. Ambiguous intents arising out of these short queries often result in long-winded query sessions and many query reformulations. To alleviate this problem, in this work, we propose the novel concept of semantic aspects (e.g., \({\langle }\{\textsf {michael\text {-}phelps}\}, \{\textsf {athens, beijing, london}\}, [2004,2016] \rangle \) for the ambiguous query ) and present the xFactor algorithm that generates them from annotations in documents. Semantic aspects uplift document contents into a meaningful structured representation, thereby allowing the user to sift through many documents without the need to read their contents. The semantic aspects are created by the analysis of semantic annotations in the form of temporal, geographic, and named entity annotations. We evaluate our approach on a novel testbed of over 5,000 aspects on Web-scale document collections amounting to more than 450 million documents. Our results show the xFactor algorithm finds relevant aspects for highly ambiguous queries.

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Author information

Authors and Affiliations

  1. Max Planck Institute for Informatics, Saarbrücken, Germany

    Dhruv Gupta & Klaus Berberich

  2. Graduate School of Computer Science, Saarbrücken, Germany

    Dhruv Gupta

  3. htw saar, Saarbrücken, Germany

    Klaus Berberich

  4. Bosch Center for Artificial Intelligence, Renningen, Germany

    Jannik Strötgen

  5. University of Cyprus, Nicosia, Cyprus

    Demetrios Zeinalipour-Yazti

Authors
  1. Dhruv Gupta
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  2. Klaus Berberich
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  3. Jannik Strötgen
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  4. Demetrios Zeinalipour-Yazti
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Corresponding author

Correspondence to Dhruv Gupta .

Editor information

Editors and Affiliations

  1. Wright State University, Dayton, OH, USA

    Pascal Hitzler

  2. KMi, The Open University, Milton Keynes, UK

    Miriam Fernández

  3. University of California, Santa Barbara, CA, USA

    Krzysztof Janowicz

  4. Maastricht University, Maastricht, The Netherlands

    Amrapali Zaveri

  5. Heriot-Watt University, Edinburgh, UK

    Alasdair J.G. Gray

  6. IBM Research, Dublin, Ireland

    Vanessa Lopez

  7. The Australian National University, Canberra, ACT, Australia

    Armin Haller

  8. Jönköping University, Jönköping, Sweden

    Karl Hammar

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Gupta, D., Berberich, K., Strötgen, J., Zeinalipour-Yazti, D. (2019). Generating Semantic Aspects for Queries. In: Hitzler, P., et al. The Semantic Web. ESWC 2019. Lecture Notes in Computer Science(), vol 11503. Springer, Cham. https://doi.org/10.1007/978-3-030-21348-0_11

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  • DOI: https://doi.org/10.1007/978-3-030-21348-0_11

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-21347-3

  • Online ISBN: 978-3-030-21348-0

  • eBook Packages: Computer ScienceComputer Science (R0)

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