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Contextual Information Systems

  • Conference paper
Modeling and Using Context (CONTEXT 2005)

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

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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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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