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A Query Model for Ontology-Based Event Processing over RDF Streams

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Knowledge Engineering and Knowledge Management (EKAW 2018)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 11313))

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Abstract

Stream Reasoning (SR) envisioned, investigated and proved the possibility to make sense of streaming data in real-time. Now, the community is investigating more powerful solutions, realizing the vision of expressive stream reasoning. Ontology-Based Event Processing (OBEP) is our contribution to this field. OBEP combines Description Logics and Event Recognition Languages. It allows describing events either as logical statements or as complex event patterns, and it captures their occurrences over ontology streams. In this paper, we define OBEP’s query model, we present a language to define OBEP queries, and we explain the language semantics.

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Notes

  1. 1.

    Due to the lack of space, we focus on the essential definition, and we provide references for the interested reader.

  2. 2.

    We refer the reader to Horrocks et. al. [11] for a thorough discussion of a more expressive DL.

  3. 3.

    Due to the lack of space, we only present SEQ, FIRST, and DURING operators. The remaining ones are available in our extended version at https://github.com/riccardotommasini/obep.

  4. 4.

    We consider only the rules (i) <:s rdf:type :C> \(\rightarrow \) C(s); (ii) <:s :p :o> \(\rightarrow \) P(s,o).

  5. 5.

    We implemented this mechanism using OWL Annotation Properties since they do not impact the reasoning, but allows distinguishing TBox axioms.

  6. 6.

    We will use Manchester Syntax to express B https://www.w3.org/TR/owl2-manchester-syntax/.

  7. 7.

    https://www.w3.org/TR/rdf-sparql-query/#QueryForms.

  8. 8.

    ObservesPerson.

  9. 9.

    ObservesClosedDoor.

  10. 10.

    Virtually, the EDS is populated by all the combination of events instances.

  11. 11.

    An extended version of this paper, with more examples and all the operators semantics is at https://github.com/riccardotommasini/obep.

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Author information

Authors and Affiliations

  1. DEIB, Politecnico di Milano, Milan, Italy

    Riccardo Tommasini, Pieter Bonte, Emanuele Della Valle, Femke Ongenae & Filip De Turck

  2. Ghent University - imec, Ghent, Belgium

    Riccardo Tommasini, Pieter Bonte, Emanuele Della Valle, Femke Ongenae & Filip De Turck

Authors
  1. Riccardo Tommasini
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  2. Pieter Bonte
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  3. Emanuele Della Valle
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  4. Femke Ongenae
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  5. Filip De Turck
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Corresponding author

Correspondence to Riccardo Tommasini .

Editor information

Editors and Affiliations

  1. Université Côte d’Azur, CNRS, Inria, I3S, Sophia Antipolis, France

    Catherine Faron Zucker

  2. Fondazione Bruno Kessler, Trento, Italy

    Chiara Ghidini

  3. University of Lorraine, CNRS, Inria, LORIA, Nancy, France

    Amedeo Napoli

  4. University of Lorraine, CNRS, Inria, LORIA, Nancy, France

    Yannick Toussaint

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Tommasini, R., Bonte, P., Della Valle, E., Ongenae, F., De Turck, F. (2018). A Query Model for Ontology-Based Event Processing over RDF Streams. In: Faron Zucker, C., Ghidini, C., Napoli, A., Toussaint, Y. (eds) Knowledge Engineering and Knowledge Management. EKAW 2018. Lecture Notes in Computer Science(), vol 11313. Springer, Cham. https://doi.org/10.1007/978-3-030-03667-6_28

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  • DOI: https://doi.org/10.1007/978-3-030-03667-6_28

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-03666-9

  • Online ISBN: 978-3-030-03667-6

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