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Extending Semantic Databases to Handle Context

An Ontology Modeling Approach

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Model and Data Engineering

Part of the book series: Lecture Notes in Computer Science ((LNPSE,volume 9344))

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Abstract

The capturing of the semantics is a key challenge in Data Engineering. Indeed, it is a very complicated task and it involves various dimensions like Data Quality and Context. In this paper, we focus on the notion of Context in Data Engineering and on handling it at the level of database systems. First, we propose a formal and generic Model to represent Context, then, we propose a complete extension of an existing Semantic Database called OntoDB. This is realized by the extension of its ontology Meta-Model in order to support semantic definition of Context and the extension of OntoQL exploitation language in order to support context-aware querying. An implementation of the proposed extensions is described.

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Notes

  1. 1.

    http://en.wikipedia.org/wiki/Functional_dependency.

  2. 2.

    http://www.w3.org/2006/time#.

  3. 3.

    http://www.wurvoc.org/vocabularies/om-1.8/.

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Author information

Authors and Affiliations

  1. LIAS/ISAE-ENSMA, Futuroscope, Poitiers, France

    Okba Barkat

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  1. Okba Barkat
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Correspondence to Okba Barkat .

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Editors and Affiliations

  1. National Engineering School for Mechanics and Aerotechnics, Poitiers, France

    Ladjel Bellatreche

  2. University of Thessaloniki, Thessaloniki, Greece

    Yannis Manolopoulos

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Barkat, O. (2015). Extending Semantic Databases to Handle Context. In: Bellatreche, L., Manolopoulos, Y. (eds) Model and Data Engineering. Lecture Notes in Computer Science(), vol 9344. Springer, Cham. https://doi.org/10.1007/978-3-319-23781-7_10

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  • DOI: https://doi.org/10.1007/978-3-319-23781-7_10

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-23780-0

  • Online ISBN: 978-3-319-23781-7

  • eBook Packages: Computer ScienceComputer Science (R0)

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