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A Framework for Qualitative Representation and Reasoning about Spatiotemporal Patterns

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Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 8577))

Abstract

A new generation of data acquisition systems has emerged in recent years through the development of communication technologies. These systems make use of geographically distributed devices that generate large amounts of data. Several models of spatiotemporal patterns have been proposed to help users take advantage of such data. However, most of current approaches rely on query languages ​​which are not easily manipulated by end-users. Because of their limited expressiveness, such approaches do not allow for reasoning about spatiotemporal phenomena that are so common in the real world. In this context, we propose a new definition of a spatiotemporal pattern. We use conceptual graphs to allow for a qualitative representation of patterns and we integrate contextual information in the definition of patterns to improve the reasoning ability of software agents. We propose an approach to help users manage spatiotemporal situations and illustrate it with a case study in the domain of power utilities.

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Correspondence to Foued Barouni .

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Barouni, F., Moulin, B. (2014). A Framework for Qualitative Representation and Reasoning about Spatiotemporal Patterns. In: Hernandez, N., Jäschke, R., Croitoru, M. (eds) Graph-Based Representation and Reasoning. ICCS 2014. Lecture Notes in Computer Science(), vol 8577. Springer, Cham. https://doi.org/10.1007/978-3-319-08389-6_8

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  • DOI: https://doi.org/10.1007/978-3-319-08389-6_8

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-08388-9

  • Online ISBN: 978-3-319-08389-6

  • eBook Packages: Computer ScienceComputer Science (R0)

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