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Knowledge Graphs: Venturing Out into the Wild

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Knowledge Graphs and Language Technology (ISWC 2016)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 10579))

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Abstract

While we now have vast collections of knowledge at our disposal, it appears that our systems often need further kinds of knowledge that are still missing in most knowledge graphs. This paper argues that we need keep moving further beyond simple collections of encyclopedic facts. Three key directions are (1) aiming at more tightly integrated knowledge, (2) distilling knowledge from text and other unstructured data, and (3) moving towards cognitive and neural approaches to better exploit the available knowledge in intelligent applications.

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Author information

Authors and Affiliations

  1. Rutgers University, New Brunswick, NJ, USA

    Gerard de Melo

Authors
  1. Gerard de Melo
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Correspondence to Gerard de Melo .

Editor information

Editors and Affiliations

  1. Digital Humanities Group, KNAW Humanities Cluster, Amsterdam, The Netherlands

    Marieke van Erp

  2. University of Leipzig, Leipzig, Germany

    Sebastian Hellmann

  3. National University of Ireland, Galway, Ireland

    John P. McCrae

  4. Institut für Informatik, Goethe University Frankfurt, Frankfurt, Hessen, Germany

    Christian Chiarcos

  5. Division of Web Science and Technology, Department of Computer Science, KAIST, Daejeon, Korea (Republic of)

    Key-Sun Choi

  6. Universidad Politécnica de Madrid, Madrid, Spain

    Jorge Gracia

  7. Waseda University, Tokyo, Japan

    Yoshihiko Hayashi

  8. Ontolonomy LLC, Yokohama, Japan

    Seiji Koide

  9. Apple San Francisco, San Francisco, California, USA

    Pablo Mendes

  10. Inst für Info & Wirtschaftsinfo, Universität Mannheim, Mannheim, Baden-Württemberg, Germany

    Heiko Paulheim

  11. National Institute of Informatics, Tokyo, Japan

    Hideaki Takeda

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de Melo, G. (2017). Knowledge Graphs: Venturing Out into the Wild. In: van Erp, M., et al. Knowledge Graphs and Language Technology. ISWC 2016. Lecture Notes in Computer Science(), vol 10579. Springer, Cham. https://doi.org/10.1007/978-3-319-68723-0_1

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  • DOI: https://doi.org/10.1007/978-3-319-68723-0_1

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-68722-3

  • Online ISBN: 978-3-319-68723-0

  • eBook Packages: Computer ScienceComputer Science (R0)

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