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A new approach to linguistic negation of nuanced information in knowledge-based systems

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Artificial Intelligence: Methodology, Systems, and Applications (AIMSA 1998)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 1480))

Abstract

In this paper, we focus our attention on the representation of linguistic negation of nuanced information. The new model presented here parses the standard forms of linguistic negation and defines its nuanced strength with the aid of a compatibility level and tolerance threshold. Their combination allows us to choose the reference frame from which the possible values of a linguistic negation of A appearing in the statement “x is not A” will be extracted. Moreover, a choice strategy computes the intended meaning of each linguistic negation.

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Authors and Affiliations

  1. LERIA, University of Angers, 2 Boulevard Lavoisier, 49045, Angers Cedex 01, France

    Daniel Pacholczyk

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  1. Daniel Pacholczyk
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Fausto Giunchiglia

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© 1998 Springer-Verlag Berlin Heidelberg

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Pacholczyk, D. (1998). A new approach to linguistic negation of nuanced information in knowledge-based systems. In: Giunchiglia, F. (eds) Artificial Intelligence: Methodology, Systems, and Applications. AIMSA 1998. Lecture Notes in Computer Science, vol 1480. Springer, Berlin, Heidelberg. https://doi.org/10.1007/BFb0057459

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  • DOI: https://doi.org/10.1007/BFb0057459

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-64993-9

  • Online ISBN: 978-3-540-49793-6

  • eBook Packages: Springer Book Archive

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