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Plausible Description Logic Programs for Stream Reasoning

Author

Listed:
  • Adrian Groza

    (Department of Computer Science, Technical University of Cluj-Napoca, Memorandumului 28, Cluj-Napoca 400391, Romania)

  • Ioan Alfred Letia

    (Department of Computer Science, Technical University of Cluj-Napoca, Memorandumului 28, Cluj-Napoca 400391, Romania)

Abstract

Sensor networks are estimated to drive the formation of the future Internet, with stream reasoning responsible for analysing sensor data. Stream reasoning is defined as real time logical reasoning on large, noisy, heterogeneous data streams, aiming to support the decision process of large numbers of concurrent querying agents. In this research we exploited non-monotonic rule-based systems for handling inconsistent or incomplete information and also ontologies to deal with heterogeneity. Data is aggregated from distributed streams in real time and plausible rules fire when new data is available. The advantages of lazy evaluation on data streams were investigated in this study, with the help of a prototype developed in Haskell.

Suggested Citation

  • Adrian Groza & Ioan Alfred Letia, 2012. "Plausible Description Logic Programs for Stream Reasoning," Future Internet, MDPI, vol. 4(4), pages 1-17, October.
    • Handle: RePEc:gam:jftint:v:4:y:2012:i:4:p:865-881:d:20712
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    References listed on IDEAS

    as
    1. Michael Granitzer & Vedran Sabol & Kow Weng Onn & Dickson Lukose & Klaus Tochtermann, 2010. "Ontology Alignment—A Survey with Focus on Visually Supported Semi-Automatic Techniques," Future Internet, MDPI, vol. 2(3), pages 1-21, August.
    2. Delphine Christin & Parag S. Mogre & Matthias Hollick, 2010. "Survey on Wireless Sensor Network Technologies for Industrial Automation: The Security and Quality of Service Perspectives," Future Internet, MDPI, vol. 2(2), pages 1-30, April.
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