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Representing Fashion Product Data with Schema.org: Approach and Use Cases

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On the Move to Meaningful Internet Systems. OTM 2017 Conferences (OTM 2017)

Part of the book series: Lecture Notes in Computer Science ((LNPSE,volume 10574))

Abstract

The last decade has seen a considerable increase of online shops for fashion goods. Technological advancements, improvements in logistics, and changes in buyer behavior have led to a dissemination of apparel goods and respective data on the Web. In numerous domains of knowledge management, ontologies have proven to be very useful for sharing meaning among organizations and individuals, and for inferencing. With schema.org, there already exists a collection of widely accepted Web vocabularies for the fields of gastronomy, accommodation, entertainment, sports, or products. Yet, schema.org still lacks a dedicated fashion ontology, which would allow for greater interoperability, higher visibility, and better comparison of fashion products on the Web. In this paper, we design and evaluate a Web ontology for garments as a compatible extension of schema.org. For our proposal, we take into account current best practices of Web ontology engineering, we formally evaluate our conceptual model, and we present practical use cases. We further contextualize our work by comparing our approach with state-of-the-art vocabularies for the fashion industry.

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Notes

  1. 1.

    http://www.ecolabelindex.com/ecolabels/.

  2. 2.

    http://www.global-standard.org/certification.html.

  3. 3.

    https://www.oeko-tex.com/en/business/business_home/business_home.xhtml.

  4. 4.

    http://swoogle.umbc.edu/.

  5. 5.

    http://lov.okfn.org/dataset/lov/.

  6. 6.

    http://www.productontology.org/.

  7. 7.

    http://schema.org/material.

  8. 8.

    http://dbpedia.org/.

  9. 9.

    http://www.volkswagen.co.uk/vocabularies/coo/ns.

  10. 10.

    http://schema.org/PropertyValue.

  11. 11.

    http://www.ebusiness-unibw.org/ontologies/cpi/.

  12. 12.

    https://www.w3.org/2001/sw/wiki/Pellet.

  13. 13.

    https://www.w3.org/2001/sw/wiki/Eyeball.

  14. 14.

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

  15. 15.

    https://www.google.de/shopping.

  16. 16.

    http://www.ebusiness-unibw.org/ontologies/cpi/evaluation.html.

  17. 17.

    http://www.ebusiness-unibw.org/ontologies/opdm/.

  18. 18.

    http://www.ebusiness-unibw.org/ontologies/opdm/garment.html.

  19. 19.

    http://www.ebusiness-unibw.org/ontologies/opdm/shoe.html.

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Authors and Affiliations

  1. Universität der Bundeswehr München, 85579, Neubiberg, Germany

    Alex Stolz, Martin Hepp & Aleksei Hemminger

Authors
  1. Alex Stolz
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  2. Martin Hepp
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  3. Aleksei Hemminger
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Corresponding author

Correspondence to Alex Stolz .

Editor information

Editors and Affiliations

  1. University of Lorraine, Nancy, France

    Hervé Panetto

  2. Odisee University College, Brussels, Belgium

    Christophe Debruyne

  3. Télécom SudParis, Évry, France

    Walid Gaaloul

  4. Tilburg University, Tilburg, The Netherlands

    Mike Papazoglou

  5. Freie Universität Berlin and Fraunhofer FOKUS, Berlin, Germany

    Adrian Paschke

  6. Università degli Studi di Milano, Crema, Italy

    Claudio Agostino Ardagna

  7. TU Graz, Graz, Austria

    Robert Meersman

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Stolz, A., Hepp, M., Hemminger, A. (2017). Representing Fashion Product Data with Schema.org: Approach and Use Cases. In: Panetto, H., et al. On the Move to Meaningful Internet Systems. OTM 2017 Conferences. OTM 2017. Lecture Notes in Computer Science(), vol 10574. Springer, Cham. https://doi.org/10.1007/978-3-319-69459-7_18

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  • DOI: https://doi.org/10.1007/978-3-319-69459-7_18

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