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Context Modelling and Context-Aware Querying

(Can Datalog Be of Help?)

  • Conference paper
Datalog Reloaded (Datalog 2.0 2010)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 6702))

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Abstract

Many interpretations of the notion of context have emerged in various fields and context-aware systems are pervading everyday life, becoming an expanding research field. Context has often a significant impact on the way humans (or machines) act, and on how they interpret things; furthermore, a change in context causes a transformation in the experience that is going to be lived. Accordingly, while the computer science community has initially perceived the context simply as a matter of user time and location, in the last few years this notion has been considered not simply as a state, but as part of a process in which users are involved; thus, sophisticated and general context models and systems have been proposed to support context-aware applications. In this paper we propose a foundational framework for the life-cycle of context-aware system, in which the system design and management activities consider context as an orthogonal, first-class citizen. In doing so, we present a Datalog-based formulation for the definition of context-aware databases.

This research has been partially funded by the European Commission, Programme IDEAS-ERC, Project 227977-SMScom.

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Author information

Authors and Affiliations

  1. Dipartimento di Elettronica e Informazione, Politecnico di Milano, Piazza Leonardo da Vinci, 32, 20133, Milano, Italy

    Giorgio Orsi & Letizia Tanca

Authors
  1. Giorgio Orsi
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  2. Letizia Tanca
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Editor information

Editors and Affiliations

  1. Department of Computer Science, Oxford University, Wolfson Building, Parks Road, OX1 3QD, Oxford, UK

    Oege de Moor

  2. Department of Computer Science, University of Oxford, UK

    Georg Gottlob , Tim Furche  & Andrew Sellers ,  & 

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Orsi, G., Tanca, L. (2011). Context Modelling and Context-Aware Querying. In: de Moor, O., Gottlob, G., Furche, T., Sellers, A. (eds) Datalog Reloaded. Datalog 2.0 2010. Lecture Notes in Computer Science, vol 6702. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-24206-9_13

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  • DOI: https://doi.org/10.1007/978-3-642-24206-9_13

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-24205-2

  • Online ISBN: 978-3-642-24206-9

  • eBook Packages: Computer ScienceComputer Science (R0)

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