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Applying Semantic Interoperability Principles to Data Stream Management

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Data Management in Pervasive Systems

Part of the book series: Data-Centric Systems and Applications ((DCSA))

Abstract

More and more applications require real-time fine-grained query answering on massive, heterogeneous, noisy and incomplete data streams. Indeed, systems capable of scalable stream processing exist. Specialised data stream management systems (DSMSs) and complex event processing (CEP) have been largely investigated in the 2000s. They can provide reactive fine-grained information access even in the presence of noisy data. What they lack is the ability to master heterogeneity and incompleteness. In this chapter, we show out to apply semantic interoperability principles to data streams. In particular, we described recently developed methods that use extensions of semantic Web technologies (i.e. RDF, SPARQL and OWL) to continuously answer fine-grained query on heterogeneous and incomplete data streams in a scalable manner. To make the chapter easier to follow, examples are provided in the context of sensor network and social media analytics.

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Author information

Authors and Affiliations

  1. Dipartimento di Elettronica, Informazione e Bioingegneria, Politecnico of Milano, P.za L. Da Vinci 32, I-20133, Milano, Italy

    Daniele Dell’Aglio, Marco Balduini & Emanuele Della Valle

Authors
  1. Daniele Dell’Aglio
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  2. Marco Balduini
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  3. Emanuele Della Valle
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Corresponding author

Correspondence to Daniele Dell’Aglio .

Editor information

Editors and Affiliations

  1. Università di Salerno, Salerno, Italy

    Francesco Colace

  2. Università di Salerno, Salerno, Italy

    Massimo De Santo

  3. Università di Napoli, Napoli, Italy

    Vincenzo Moscato

  4. Università di Napoli, Napoli, Italy

    Antonio Picariello

  5. Politecnico di Milano, Milano, Italy

    Fabio A. Schreiber

  6. Politecnico di Milano, Milano, Italy

    Letizia Tanca

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Dell’Aglio, D., Balduini, M., Valle, E.D. (2015). Applying Semantic Interoperability Principles to Data Stream Management. In: Colace, F., De Santo, M., Moscato, V., Picariello, A., Schreiber, F., Tanca, L. (eds) Data Management in Pervasive Systems. Data-Centric Systems and Applications. Springer, Cham. https://doi.org/10.1007/978-3-319-20062-0_7

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  • DOI: https://doi.org/10.1007/978-3-319-20062-0_7

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-20061-3

  • Online ISBN: 978-3-319-20062-0

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