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Crowdsourced Knowledge: Peril and Promise for Conceptual Structures Research

  • Conference paper
Conceptual Structures for Discovering Knowledge (ICCS 2011)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 6828))

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Abstract

Recent efforts to create natural-language, question-answering systems for the World Wide Web exploit the vast availability of information in Web resources as a knowledge base. Researchers who develop these systems explicitly assume that what is most often repeated in that knowledge base is the truth. Their assumption implicitly relies on a fallacy in classical logic: “proof by assertion” (or proof by repeated assertion). This paper considers the implications—both hazardous and hopeful—of the Most Often Repeated (MOR) assumption, and suggests Peirce’s “economy of research” (EOR), in his evolutionary view of logic, as a promising alternative to MOR for truth-finding in the increasing complexity of crowdsourced knowledge.

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Authors
  1. Mary Keeler
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Editors and Affiliations

  1. Sheffield Hallam University, 153 Arundel St., S1 2NU, Sheffield, UK

    Simon Andrews , Simon Polovina  & Babak Akhgar ,  & 

  2. University of Derby, Kedleston Road, DE22 1GB, Derby, UK

    Richard Hill

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Keeler, M. (2011). Crowdsourced Knowledge: Peril and Promise for Conceptual Structures Research. In: Andrews, S., Polovina, S., Hill, R., Akhgar, B. (eds) Conceptual Structures for Discovering Knowledge. ICCS 2011. Lecture Notes in Computer Science(), vol 6828. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-22688-5_10

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  • DOI: https://doi.org/10.1007/978-3-642-22688-5_10

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-22687-8

  • Online ISBN: 978-3-642-22688-5

  • eBook Packages: Computer ScienceComputer Science (R0)

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