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International Semantic Web Conference

ISWC 2021: The Semantic Web – ISWC 2021 pp 580–596Cite as

BEEO: Semantic Support for Event-Based Data Analytics

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Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 12922))

Abstract

Recent developments in data analysis and machine learning support novel data-driven operations. Event data provide social and environmental context, thus, such data may become essential for the workflow of data analytic pipelines. In this paper, we introduce our Business Event Exchange Ontology (BEEO), based on Schema.org that enables data integration and analytics for event data. BEEO is available under Apache 2.0 license on GitHub, and is seeing adoption among both its creator companies and other product and service companies. We present and discuss the ontology development drivers and process, its structure, and its usage in different real use cases.

Resource Type: Ontology

License: Apache 2.0

DOI: https://doi.org/10.5281/zenodo.4695281

Repository: https://github.com/UNIMIBInside/Business-Event-Exchange-Ontology

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Notes

  1. 1.

    https://www.ew-shopp.eu/.

  2. 2.

    https://schema.org/Event.

  3. 3.

    https://json-ld.org/.

  4. 4.

    https://github.com/UNIMIBInside/asia-backend.

  5. 5.

    More details are available at https://github.com/UNIMIBInside/Business-Event-Exchange-Ontology.

  6. 6.

    https://www.ceneje.si/.

  7. 7.

    https://www.bigbang.si/.

  8. 8.

    https://www.cde.si/.

  9. 9.

    https://www.measurence.com/.

  10. 10.

    According to the MoSCoW prioritization technique - RFC2119.

  11. 11.

    https://schema.org/docs/gs.html#schemaorg_types.

  12. 12.

    https://www.w3.org/TR/2008/WD-skos-reference-20080829/skos.html.

  13. 13.

    https://app.swaggerhub.com/apis/EW-Shopp/Business-Event-Exchange-Ontology-API/2.2.0.

  14. 14.

    https://json-ld.org/spec/latest/json-ld-api-best-practices/.

  15. 15.

    https://www.ecmwf.int/en/forecasts.

  16. 16.

    https://www.ew-shopp.eu/solution/cocos-cep-worforce-campaign-management-optimization/.

  17. 17.

    https://www.ew-shopp.eu/solutions/.

  18. 18.

    http://linkedevents.org/ontology/.

  19. 19.

    http://motools.sourceforge.net/event/event.122.html.

  20. 20.

    https://iptc.org/standards/eventsml-g2.

  21. 21.

    http://www.heppnetz.de/ontologies/goodrelations/v1.html.

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Acknowledgements

This research has been supported in part by EU H2020 projects EW-Shopp - Grant n. 732590, and EuBusinessGraph - Grant n. 732003.

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Authors and Affiliations

  1. University of Milano-Bicocca, Milan, Italy

    Michele Ciavotta, Vincenzo Cutrona, Flavio De Paoli, Matteo Palmonari & Blerina Spahiu

Authors
  1. Michele Ciavotta
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  2. Vincenzo Cutrona
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  3. Flavio De Paoli
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  4. Matteo Palmonari
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  5. Blerina Spahiu
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Corresponding author

Correspondence to Blerina Spahiu .

Editor information

Editors and Affiliations

  1. University of Würzburg, Würzburg, Germany

    Andreas Hotho

  2. Linköping University, Linköping, Sweden

    Eva Blomqvist

  3. University of Düsseldorf, Düsseldorf, Germany

    Stefan Dietze

  4. IBM Research - Thomas J. Watson Research, Hawthorne, CA, USA

    Achille Fokoue

  5. University of Texas, Austin, TX, USA

    Ying Ding

  6. Imperial College, London, UK

    Payam Barnaghi

  7. Australian National University, Canberra, ACT, Australia

    Armin Haller

  8. Fondazione Bruno Kessler, Povo, Trento, Italy

    Mauro Dragoni

  9. The Open University Walton Hall, Milton Keynes, UK

    Harith Alani

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Ciavotta, M., Cutrona, V., De Paoli, F., Palmonari, M., Spahiu, B. (2021). BEEO: Semantic Support for Event-Based Data Analytics. In: Hotho, A., et al. The Semantic Web – ISWC 2021. ISWC 2021. Lecture Notes in Computer Science(), vol 12922. Springer, Cham. https://doi.org/10.1007/978-3-030-88361-4_34

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  • DOI: https://doi.org/10.1007/978-3-030-88361-4_34

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  • Print ISBN: 978-3-030-88360-7

  • Online ISBN: 978-3-030-88361-4

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