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Ontology Based Data Access on Temporal and Streaming Data

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Book cover Reasoning Web. Reasoning on the Web in the Big Data Era (Reasoning Web 2014)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 8714))

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Abstract

Though processing time-dependent data has been investigated for a long time, the research on temporal and especially stream reasoning over linked open data and ontologies is reaching its high point these days. In this tutorial, we give an overview of state-of-the art query languages and engines for temporal and stream reasoning. On a more detailed level, we discuss the new language STARQL (Reasoning-based Query Language for Streaming and Temporal ontology Access). STARQL is designed as an expressive and flexible stream query framework that offers the possibility to embed different (temporal) description logics as filter query languages over ontologies, and hence it can be used within the OBDA paradigm (Ontology Based Data Access in the classical sense) and within the ABDEO paradigm (Accessing Big Data over Expressive Ontologies).

This work has been supported by the European Commission as part of the FP7 project Optique http://www.optique-project.eu/

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  1. Institute for Softwaresystems (STS), Hamburg University of Technology, Hamburg, Germany

    Özgür Lütfü Özçep & Ralf Möller

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  1. Özgür Lütfü Özçep
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  2. Ralf Möller
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  1. National and Kapodistrian University of Athens, Greece

    Manolis Koubarakis

  2. School of Electrical and Computer Engineering, National Technical University of Athens, Zografou Campus, 15780, Zografou, Greece

    Giorgos Stamou

  3. School of Electrical and Computer Engineering, National Technical University of Athens, Zografou, Greece

    Giorgos Stoilos

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

    Ian Horrocks

  5. University of California, Santa Cruz, CA, USA

    Phokion Kolaitis

  6. Institute for Informatics, University of Freiburg, Freiburg, Germany

    Georg Lausen

  7. Max-Planck Institute for Informatics, Saarbrücken, Germany

    Gerhard Weikum

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Özçep, Ö.L., Möller, R. (2014). Ontology Based Data Access on Temporal and Streaming Data. In: Koubarakis, M., et al. Reasoning Web. Reasoning on the Web in the Big Data Era. Reasoning Web 2014. Lecture Notes in Computer Science, vol 8714. Springer, Cham. https://doi.org/10.1007/978-3-319-10587-1_7

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