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European Semantic Web Conference

ESWC 2021: The Semantic Web: ESWC 2021 Satellite Events pp 165–175Cite as

Improving Decision Making Using Semantic Web Technologies

Part of the Lecture Notes in Computer Science book series (LNISA,volume 12739)

Abstract

With the rapid advance of technology, we are moving towards replacing humans in decision making–the employment of robotics and computerised systems for production and delivery and autonomous cars in the travel sector. The focus is placed on the use of techniques, such as machine learning and deep learning. However, despite advances in machine learning and deep learning, they are incapable of modelling the relationships that are present in the real world, which are necessary for making a decision. For example, automating sociotechnical systems requires an understanding of both human and technological aspects and how they influence one another. Using machine learning, we can not model the relationships of a sociotechnical systems. Semantic Web technologies, which is based on the concept of linked-data technology, can represent relationships in a more realistic way like in the real world, and be useful to make better decisions. The study looks at the use of Semantic Web technologies, namely ontologies and knowledge graphs to improve decision making process.

Keywords

  • Semantic Web technologies
  • Artificial Intelligence
  • Decision making

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Fig. 1.
Fig. 2.

Notes

  1. 1.

    https://www.weforum.org.

  2. 2.

    http://www3.weforum.org/docs/WEF_ITTC_PersonalDataNewAsset_Report_2011.pdf.

  3. 3.

    https://eur-lex.europa.eu/eli/reg/2016/679/oj.

  4. 4.

    https://www.specialprivacy.eu/.

  5. 5.

    smashHit Public Report D1.3 Public Innovation Concept March 2021.

  6. 6.

    https://www.smashhit.eu.

  7. 7.

    https://www.reportsanddata.com/report-detail/predictive-maintenance-market.

  8. 8.

    https://www.w3.org/TR/vocab-ssn/.

  9. 9.

    http://streamreasoning.org/resources/c-sparql.

  10. 10.

    https://www.z-bre4k.eu.

  11. 11.

    https://www.z-bre4k.eu/wp-content/uploads/2020/12/Z-BRE4K-semantic-modelling.pdf.

  12. 12.

    http://www.gestamp.com/.

  13. 13.

    https://www.philips.com/.

  14. 14.

    http://www.sacmi.com/.

  15. 15.

    https://projekte.ffg.at/projekt/3314668.

  16. 16.

    https://www.w3.org/TR/prov-o/.

  17. 17.

    http://openscience.adaptcentre.ie/ontologies/GConsent/docs/ontology.

  18. 18.

    https://www.w3.org/community/dpvcg/wiki/Data_Protection_Ontology_by_Bartolini_et._al#Data_Protection_Ontology.

  19. 19.

    https://scch.at/en/das-projects-details/ki-net.

  20. 20.

    https://www.ontotext.com/products/graphdb/.

  21. 21.

    https://cloud.google.com.

  22. 22.

    https://aws.amazon.com.

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Acknowledgements

This research has been supported by the European Union projects funded under Horizon 2020 research and innovation programme (smashHit (see footnote 6), grant agreement 871477 and Interreg Österreich-Bayern 2014–2020 programme project (KI-Net (see footnote 19), grant agreement AB 292). I want to express my gratitude to Assoc.-Prof. Dr. Anna Fensel for her support and insightful comments.

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Authors and Affiliations

  1. Semantic Technology Institute (STI) Innsbruck, Department of Computer Science, University of Innsbruck, Innsbruck, Austria

    Tek Raj Chhetri

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  1. Tek Raj Chhetri
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Correspondence to Tek Raj Chhetri .

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Editors and Affiliations

  1. IMEC, Ghent University, Ghent, Belgium

    Ruben Verborgh

  2. Faculty of Engineering and Architecture, Ghent University, Ghent, Belgium

    Dr. Anastasia Dimou

  3. University of Chile, Santiago, Chile

    Aidan Hogan

  4. Università degli Studi di Bari, Bari, Italy

    Claudia d'Amato

  5. Faculty of Computer Science, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands

    Dr. Ilaria Tiddi

  6. Corporate Technology, Siemens Aktiengesellschaft, München, Bayern, Germany

    Arne Bröring

  7. University of St. Gallen, St. Gallen, St. Gallen, Switzerland

    Dr. med. Simon Mayer

  8. Ghent University, Ghent, Belgium

    Femke Ongenae

  9. Institute of Computer Science, University of Tartu, Tartu, Estonia

    Assoc. Prof. Riccardo Tommasini

  10. Information Infrastructure, FIZ Karlsruhe - Leibniz Institute for Information Infrastructure, Karlsruhe, Germany

    Dr. Mehwish Alam

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Chhetri, T.R. (2021). Improving Decision Making Using Semantic Web Technologies. In: , et al. The Semantic Web: ESWC 2021 Satellite Events. ESWC 2021. Lecture Notes in Computer Science(), vol 12739. Springer, Cham. https://doi.org/10.1007/978-3-030-80418-3_29

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