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Summarizing Knowledge Base with Modal Conditionals

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Computational Collective Intelligence. Technologies and Applications (ICCCI 2012)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 7653))

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Abstract

Work proposes and evaluates a method of summarizing transaction base with conditional formulas and their modal extensions. Modality expresses certainty levels using phrases ‘It is possible, that’ and ‘I believe, that’. Method is based on previous works on grounding of natural language statements. Semantics of conditionals, as opposed to associative rules, are consistent with their conventional natural language meaning. A software simulation is described and implemented. Some interesting results are discussed showing methods pros and cons.

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Author information

Authors and Affiliations

  1. Institute of Informatics, Wroclaw University of Technology, Poland

    Grzegorz Skorupa & Radosław Katarzyniak

Authors
  1. Grzegorz Skorupa
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  2. Radosław Katarzyniak
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Editor information

Editors and Affiliations

  1. Institute of Informatics, Wroclaw University of Technology, Wyb. Wyspianskiego 27, 50-370, Wroclaw, Poland

    Ngoc-Thanh Nguyen

  2. University of Information Technology, National Vietnam University VNU-HCM, Ho Chi Minh city, Vietnam

    Kiem Hoang

  3. Gdynia Maritime University, Str. Morska 81-87, 81-225, Gdynia, Poland

    Piotr Jȩdrzejowicz

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© 2012 Springer-Verlag Berlin Heidelberg

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Skorupa, G., Katarzyniak, R. (2012). Summarizing Knowledge Base with Modal Conditionals. In: Nguyen, NT., Hoang, K., Jȩdrzejowicz, P. (eds) Computational Collective Intelligence. Technologies and Applications. ICCCI 2012. Lecture Notes in Computer Science(), vol 7653. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-34630-9_14

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  • DOI: https://doi.org/10.1007/978-3-642-34630-9_14

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-34629-3

  • Online ISBN: 978-3-642-34630-9

  • eBook Packages: Computer ScienceComputer Science (R0)

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