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European Knowledge Acquisition Workshop

EKAW 2016: Knowledge Engineering and Knowledge Management pp 109–113Cite as

Soundness and Ontology-Based Consistency of Sensor Data Acquisition Plans

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Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 10180))

Abstract

The verification of the soundness and consistency of data acquisition plans is an important requirement in the loading of data generated by physical and social devices. In this paper we discuss these properties in the context of the StreamLoader system.

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References

  1. Cugola, G., Margara, A.: Processing flows of information: from data stream to complex event processing. ACM Comput. Surv. 44(3), 62 pages (2012). Article No. 15

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  2. Zettsu, K.: Service-controlled networking. J. Nat. Inst. Inf. Commun. Technol. 62(2), 177–184 (2015)

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  3. W3C Semantic Sensor Network Group: Semantic Sensor Network Ontology (2005)

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  4. Compton, M., et al.: The SSN ontology of the W3C semantic sensor network incubator group. Web Semant. Sci. Serv. Agents World Wide Web 17, 25–32 (2012)

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  5. Mesiti, M., et al.: StreamLoader: an event-driven ETL system for the on-line processing of heterogeneous sensor data. In: Proceedings of International Conference on Extending Database Technology, pp. 628–631 (2016)

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Author information

Authors and Affiliations

  1. Department of Computer Science “Giovanni Degli Antoni”, University of Milano, Milan, Italy

    Luca Ferrari, Marco Mesiti & Stefano Valtolina

Authors
  1. Luca Ferrari
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  2. Marco Mesiti
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  3. Stefano Valtolina
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Corresponding authors

Correspondence to Luca Ferrari , Marco Mesiti or Stefano Valtolina .

Editor information

Editors and Affiliations

  1. University of Bologna , Bologna, Italy

    Paolo Ciancarini

  2. University of Bologna , Bologna, Italy

    Francesco Poggi

  3. Stanford University , Palo Alto, California, USA

    Matthew Horridge

  4. Lancaster University , Lancaster, United Kingdom

    Jun Zhao

  5. Garvan Institute of Medical Research , Darlinghurst, New South Wales, Australia

    Tudor Groza

  6. Universidad Politecnica de Madrid , Boadilla del Monte, Spain

    Mari Carmen Suarez-Figueroa

  7. The Open University , Milton Keynes, United Kingdom

    Mathieu d'Aquin

  8. STLab ISTC-CNR , Rome, Italy

    Valentina Presutti

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Ferrari, L., Mesiti, M., Valtolina, S. (2017). Soundness and Ontology-Based Consistency of Sensor Data Acquisition Plans. In: Ciancarini, P., et al. Knowledge Engineering and Knowledge Management. EKAW 2016. Lecture Notes in Computer Science(), vol 10180. Springer, Cham. https://doi.org/10.1007/978-3-319-58694-6_11

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  • DOI: https://doi.org/10.1007/978-3-319-58694-6_11

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-58693-9

  • Online ISBN: 978-3-319-58694-6

  • eBook Packages: Computer ScienceComputer Science (R0)

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