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International Semantic Web Conference

ISWC 2020: The Semantic Web – ISWC 2020 pp 244–258Cite as

An SKOS-Based Vocabulary on the Swift Programming Language

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Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 12507))

Abstract

Domain ontologies about one or several programming languages have been created in various occasions, mostly in the context of Technology Enhanced Learning (TEL). Their benefits range from modeling learning outcomes, over organization and annotation of learning material, to providing scaffolding support in programming labs by integrating relevant learning resources. The Swift programming language, introduced in 2014, is currently gaining momentum in different fields of application. Both its powerful syntax as well as the provided type safety make it a good language for first-year computer science students. However, it has not yet been the subject of a domain ontology. In this paper, we present an SKOS-based vocabulary on the Swift programming language, aiming at enabling the benefits of previous research for this particular language. After reviewing existing ontologies on other programming languages, we present the modeling process of the Swift vocabulary, its integration into the LOD Cloud and list all of its resources available to the research community. Finally, we showcase how it is being used in different TEL tools.

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Notes

  1. 1.

    https://vapor.codes.

  2. 2.

    https://www.tensorflow.org/swift/.

  3. 3.

    https://pypl.github.io/PYPL.html.

  4. 4.

    https://tiobe.com/tiobe-index/.

  5. 5.

    https://insights.stackoverflow.com/survey/2019#most-loved-dreaded-and-wanted.

  6. 6.

    https://docs.oracle.com/javase/tutorial/.

  7. 7.

    “Pluralitas non est ponenda sine necessitate.”

  8. 8.

    https://www.w3.org/2004/02/skos/.

  9. 9.

    https://docs.swift.org/swift-book/.

  10. 10.

    https://www.crummy.com/software/BeautifulSoup/.

  11. 11.

    https://spacy.io.

  12. 12.

    https://rdflib.readthedocs.io/en/stable/.

  13. 13.

    https://protege.stanford.edu.

  14. 14.

    https://lambdamusic.github.io/Ontospy/.

  15. 15.

    https://www.dublincore.org/specifications/dublin-core/dcmi-terms/.

  16. 16.

    http://xmlns.com/foaf/spec/.

  17. 17.

    http://vos.openlinksw.com.

  18. 18.

    https://creativecommons.org/licenses/by-sa/4.0/.

  19. 19.

    https://pypl.github.io/IDE.html.

  20. 20.

    https://marketplace.visualstudio.com/items?itemName=cgrevisse.alma4code.

  21. 21.

    https://github.com/cgrevisse/swift-semantic.

  22. 22.

    https://github.com/apple/swift-syntax.

  23. 23.

    https://docs.swift.org/swift-book/LanguageGuide/Properties.html#ID259.

  24. 24.

    https://github.com/apple/swift-evolution.

  25. 25.

    https://lod-cloud.net/dataset/Swift.

  26. 26.

    https://forums.swift.org/c/related-projects/25.

  27. 27.

    https://www.w3.org/RDF/Validator/.

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Acknowledgments

We would like to thank Rubén Manrique from the Universidad de los Andes (Bogotá, Colombia) for his valuable input on Virtuoso.

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Authors and Affiliations

  1. Department of Computer Science, University of Luxembourg, 2, avenue de l’Université, 4365, Esch-sur-Alzette, Luxembourg

    Christian Grévisse & Steffen Rothkugel

Authors
  1. Christian Grévisse
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  2. Steffen Rothkugel
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Corresponding author

Correspondence to Christian Grévisse .

Editor information

Editors and Affiliations

  1. University of Edinburgh, Edinburgh, UK

    Jeff Z. Pan

  2. University of Liverpool, Liverpool, UK

    Valentina Tamma

  3. University of Bari, Bari, Italy

    Claudia d’Amato

  4. University of California, Santa Barbara, Santa Barbara, CA, USA

    Krzysztof Janowicz

  5. California State University, Long Beach, Long Beach, CA, USA

    Bo Fu

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

    Axel Polleres

  7. Rensselaer Polytechnic Institute, Troy, NY, USA

    Oshani Seneviratne

  8. Massachusetts Institute of Technology, Cambridge, MA, USA

    Lalana Kagal

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Grévisse, C., Rothkugel, S. (2020). An SKOS-Based Vocabulary on the Swift Programming Language. In: Pan, J.Z., et al. The Semantic Web – ISWC 2020. ISWC 2020. Lecture Notes in Computer Science(), vol 12507. Springer, Cham. https://doi.org/10.1007/978-3-030-62466-8_16

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  • DOI: https://doi.org/10.1007/978-3-030-62466-8_16

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  • Online ISBN: 978-3-030-62466-8

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