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A Geological Case Study on Semantically Triggered Processes

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The Semantic Web: ESWC 2023 Satellite Events (ESWC 2023)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 13998))

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Abstract

We present an approach to connect semantic descriptions of situations to program-based descriptions of processes. The main mechanism is a semantically formalised trigger that initiates a process. We demonstrate the viability of the approach by modelling scenarios and processes in petroleum geoscience.

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References

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Author information

Authors and Affiliations

  1. SIRIUS Center, University of Oslo, Oslo, Norway

    Yuanwei Qu, Eduard Kamburjan & Martin Giese

Authors
  1. Yuanwei Qu
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  2. Eduard Kamburjan
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  3. Martin Giese
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Corresponding author

Correspondence to Yuanwei Qu .

Editor information

Editors and Affiliations

  1. University of Lisbon, Lisbon, Portugal

    Catia Pesquita

  2. University of Nantes, Nantes, France

    Hala Skaf-Molli

  3. Foundation for Research and Technology, Heraklion, Greece

    Vasilis Efthymiou

  4. Vienna University of Economics and Business, Vienna, Austria

    Sabrina Kirrane

  5. University of Paderborn, Paderborn, Germany

    Axel Ngonga

  6. Fraunhofer IAIS, Sankt Augustin, Germany

    Diego Collarana

  7. IBM Research, Rio de Janeiro, Brazil

    Renato Cerqueira

  8. Institut Polytechnique de Paris, Palaiseau, France

    Mehwish Alam

  9. Institut de Recherche en Informatique de Toulouse, Toulouse, France

    Cassia Trojahn

  10. University of Mannheim, Mannheim, Germany

    Sven Hertling

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© 2023 The Author(s), under exclusive license to Springer Nature Switzerland AG

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Qu, Y., Kamburjan, E., Giese, M. (2023). A Geological Case Study on Semantically Triggered Processes. In: Pesquita, C., et al. The Semantic Web: ESWC 2023 Satellite Events. ESWC 2023. Lecture Notes in Computer Science, vol 13998. Springer, Cham. https://doi.org/10.1007/978-3-031-43458-7_18

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  • DOI: https://doi.org/10.1007/978-3-031-43458-7_18

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-43457-0

  • Online ISBN: 978-3-031-43458-7

  • eBook Packages: Computer ScienceComputer Science (R0)

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