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Stream-Query Compilation with Ontologies

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AI 2015: Advances in Artificial Intelligence (AI 2015)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 9457))

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Abstract

Rational agents perceiving data from a dynamic environment and acting in it have to be equipped with capabilities such as decision making, planning etc. We assume that these capabilities are based on query answering with respect to (high-level) streams of symbolic descriptions, which are grounded in (low-level) data streams. Queries need to be answered w.r.t. an ontology. The central idea is to compile ontology-based stream queries (continuous or historical) to relational data processing technology, for which efficient implementations are available. We motivate our query language STARQL (Streaming and Temporal ontology Access with a Reasoning-Based Query Language) with a sensor data processing scenario, and compare the approach realized in the STARQL framework with related approaches regarding expressivity.

This work has been supported by the European Commission as part of the FP7 project Optique.

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Notes

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    For a longer version of this paper see: https://dl.dropboxusercontent.com/u/65078815/AI15Stream.pdf.

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Authors and Affiliations

  1. Institute of Information Systems (IFIS), University of Lübeck, Lübeck, Germany

    Özgür Lütfü Özçep, Ralf Möller & Christian Neuenstadt

Authors
  1. Özgür Lütfü Özçep
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  2. Ralf Möller
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  3. Christian Neuenstadt
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Correspondence to Özgür Lütfü Özçep .

Editor information

Editors and Affiliations

  1. The University of Waikato, Hamilton, New Zealand

    Bernhard Pfahringer

  2. The Australian National University, Canberra, Aust Capital Terr, Australia

    Jochen Renz

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Özçep, Ö.L., Möller, R., Neuenstadt, C. (2015). Stream-Query Compilation with Ontologies. In: Pfahringer, B., Renz, J. (eds) AI 2015: Advances in Artificial Intelligence. AI 2015. Lecture Notes in Computer Science(), vol 9457. Springer, Cham. https://doi.org/10.1007/978-3-319-26350-2_40

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  • DOI: https://doi.org/10.1007/978-3-319-26350-2_40

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-26349-6

  • Online ISBN: 978-3-319-26350-2

  • eBook Packages: Computer ScienceComputer Science (R0)

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