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Contextual Information Systems

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Modeling and Using Context (CONTEXT 2005)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 3554))

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Abstract

A rather common way of formalizing contexts as first class objects starts from the basic relation ist(c,p) which asserts that the proposition p is true in the context c. However, the space in which terms take values may itself be context-sensitive. Our aim is to introduce contexts as abstract mathematical entities in a more general framework which includes context-sensitivity, namely knowledge represented by contextual information systems. Making use of some concepts from the Rough Set Theory we refine two relations: the indiscernibility relation between the objects and the similarity relation between the contexts within a contextual information system. Both relations are illustrated with examples showing how contextual information systems can express in a natural way a very few well known phenomena. Based on these relations we propose a simple strategy for decreasing the ambiguity of contextual information systems.

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Author information

Authors and Affiliations

  1. Research Group in Mathematical Linguistics, Rovira i Virgili University, Pça. Imperial Tarraco 1, 43005, Tarragona, Spain

    Carlos Martín-Vide & Victor Mitrana

  2. Faculty of Mathematics and Computer Science, University of Bucharest, Str. Academiei 14, 010014, Bucharest, Romania

    Victor Mitrana

Authors
  1. Carlos Martín-Vide
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  2. Victor Mitrana
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Editor information

Editors and Affiliations

  1. Human-Computer Interaction Institute, Carnegie Mellon University, 5000 Forbes Ave, 15213-3891, Pittsburgh, PA, USA

    Anind Dey

  2. Central and East European Center for Cognitive Science, New Bulgarian University, 21 Montevideo Street, 1618, Sofia, Bulgaria

    Boicho Kokinov

  3. Computer Science Department, Indiana University, 47405, Bloomington, IN, U.S.A.

    David Leake

  4. Department of Computer Science, University of Maine, 04469, Orono, Maine, USA

    Roy Turner

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© 2005 Springer-Verlag Berlin Heidelberg

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Martín-Vide, C., Mitrana, V. (2005). Contextual Information Systems. In: Dey, A., Kokinov, B., Leake, D., Turner, R. (eds) Modeling and Using Context. CONTEXT 2005. Lecture Notes in Computer Science(), vol 3554. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11508373_23

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  • DOI: https://doi.org/10.1007/11508373_23

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-26924-3

  • Online ISBN: 978-3-540-31890-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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