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

Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, 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.

Keywords

Schema.org Ontology engineering Conceptual modeling Fashion Clothing Garments Apparel E-business E-commerce Products Product types ontology DBPedia 

References

  1. 1.
    KPMG: Fashion 2025: Studie zur Zukunft des Fashion-Markts in Deutschland (2015)Google Scholar
  2. 2.
    Nielsen: Share of internet users who have ever purchased products online as of November 2016, by Category. https://www.statista.com/statistics/276846/reach-of-top-online-retail-categories-worldwide/
  3. 3.
    Eurostat: E-commerce statistics for individuals: about two thirds of internet users in the EU shopped online in 2016. http://ec.europa.eu/eurostat/statistics-explained/index.php/E-commerce_statistics_for_individuals
  4. 4.
    eMarketer Inc.: Retail ecommerce set to keep a strong pace through 2017. https://www.emarketer.com/Article/Retail-Ecommerce-Set-Keep-Strong-Pace-Through-2017/1009836
  5. 5.
    Studer, R., Benjamins, R., Fensel, D.: Knowledge engineering: principles and methods. Data Knowl. Eng. 25, 161–197 (1998)CrossRefMATHGoogle Scholar
  6. 6.
    Olivé, A.: Conceptual Modeling of Information Systems. Springer, Heidelberg (2007). doi:10.1007/978-3-540-39390-0 MATHGoogle Scholar
  7. 7.
    Schema.org: Organization of Schemas. http://schema.org/docs/schemas.html
  8. 8.
    Hepp, M.: From ontologies to web ontologies: lessons learned from conceptual modeling for the WWW (on Vimeo). https://vimeo.com/51152934
  9. 9.
    Stolz, A., Rodriguez-Castro, B., Hepp, M.: Using BMEcat catalogs as a lever for product master data on the semantic web. In: Cimiano, P., Corcho, O., Presutti, V., Hollink, L., Rudolph, S. (eds.) ESWC 2013. LNCS, vol. 7882, pp. 623–638. Springer, Heidelberg (2013). doi:10.1007/978-3-642-38288-8_42 CrossRefGoogle Scholar
  10. 10.
    Bogusławska-Bączek, M.: Analysis of the contemporary problem of garment sizes. In: 7th International Conference on Textile Science (TEXSCI 2010), Liberec, Czech Republic (2010)Google Scholar
  11. 11.
    Fryar, C.D., Gu, Q., Ogden, C.L.: Anthropometric reference data for children and adults: United States, 2007–2010. Vital Health Stat. 11, 1–48 (2012)Google Scholar
  12. 12.
    Beazley, A.: Size and fit: the development of size charts for clothing - Part 3. J. Fash. Mark. Manag. Int. J. 3, 66–84 (1999)CrossRefGoogle Scholar
  13. 13.
    Cherif, C.: The textile process chain and classification of textile semi-finished products. In: Cherif, C. (ed.) Textile Materials for Lightweight Constructions, pp. 9–35. Springer, Heidelberg (2016). doi:10.1007/978-3-662-46341-3_2 CrossRefGoogle Scholar
  14. 14.
    Ginetex Switzerland: Textile care symbols. http://www.ginetex.net/files/pdf/gin_pfle_bro_ch_gb_web_rz.pdf
  15. 15.
    DIN Deutsches Institut für Normung: Textiles - Care labelling code using symbols (ISO 3758:2012); German version EN ISO 3758:2012 (2013)Google Scholar
  16. 16.
    ASTM D5489-14: Standard Guide for Care Symbols for Care Instructions on Textile Products, West Conshohocken, PA (2014)Google Scholar
  17. 17.
    Moore, S.B., Wentz, M.: Eco-labeling for textiles and apparel. In: Blackburn, R.S. (ed.) Sustainable Textiles: Life Cycle and Environmental Impact, pp. 214–230. Woodhead Publishing Limited, Oxford (2009)CrossRefGoogle Scholar
  18. 18.
    Simperl, E., Tempich, C.: Exploring the economical aspects of ontology engineering. In: Staab, S., Studer, R. (eds.) Handbook on Ontologies. IHIS, pp. 337–358. Springer, Heidelberg (2009). doi:10.1007/978-3-540-92673-3_15 CrossRefGoogle Scholar
  19. 19.
    Uschold, M., Gruninger, M.: Ontologies: principles, methods and applications. Knowl. Eng. Rev. 11, 93–136 (1996)CrossRefGoogle Scholar
  20. 20.
    GS1 Germany: GS1-Standards für Fashion, Schuhe, Sport. https://www.gs1-germany.de/gs1-standards-fuer-fashion-schuhe-sport/
  21. 21.
    Hepp, M.: GoodRelations: an ontology for describing products and services offers on the web. In: Gangemi, A., Euzenat, J. (eds.) EKAW 2008. LNCS, vol. 5268, pp. 329–346. Springer, Heidelberg (2008). doi:10.1007/978-3-540-87696-0_29 CrossRefGoogle Scholar
  22. 22.
    United Nations Economic Commission for Europe: Recommendation No. 20: Codes for Units of Measure Used in International Trade (2006)Google Scholar
  23. 23.
    DIN Deutsches Institut für Normung: Size designation of clothes - Part 3: Body measurements and intervals; German version EN 13402-3:2013 (2014)Google Scholar
  24. 24.
    Harris, S., Seaborne, A.: SPARQL 1.1 Query Language. http://www.w3.org/TR/2013/REC-sparql11-query-20130321/
  25. 25.
    International Organization for Standardization: ISO 3166-1:2013: Codes for the Representation of Names of Countries and Their Subdivisions - Part 1: Country Codes (2013)Google Scholar
  26. 26.
    Alves, B., et al.: Fairtrace: applying semantic web tools and techniques to the textile traceability. In: Hammoudi, S., Cordeiro, J., Maciaszek, Leszek A., Filipe, J. (eds.) ICEIS 2013. LNBIP, vol. 190, pp. 68–84. Springer, Cham (2014). doi:10.1007/978-3-319-09492-2_5 Google Scholar
  27. 27.
    Aimé, X., George, S., Hornung, J.: VetiVoc: a modular ontology for the fashion, textile and clothing domain. Appl. Ontol. 11, 1–28 (2016)CrossRefGoogle Scholar
  28. 28.
    Vogiatzis, D., Pierrakos, D., Paliouras, G., Jenkyn-Jones, S., Possen, B.J.H.H.A.: Expert and community based style advice. Expert Syst. Appl. 39, 10647–10655 (2012)Google Scholar
  29. 29.
    Frejlichowski, D., Czapiewski, P., Hofman, R.: Finding similar clothes based on semantic description for the purpose of fashion recommender system. In: Nguyen, N.T., Trawiński, B., Fujita, H., Hong, T.-P. (eds.) ACIIDS 2016. LNCS, vol. 9621, pp. 13–22. Springer, Heidelberg (2016). doi:10.1007/978-3-662-49381-6_2 CrossRefGoogle Scholar
  30. 30.
    Bollacker, K., Díaz-Rodríguez, N., Li, X.: Beyond clothing ontologies: modeling fashion with subjective influence networks. In: Raykar, V.C., Klingenberg, B., Xu, H., Singh, R., Saha, A. (eds.) Machine Learning Meets Fashion KDD Workshop, pp. 1–7. ACM, San Francisco (2016)Google Scholar
  31. 31.
    Fuhrmann, A., Groß, C., Weber, A.: Ontologies for virtual garments. In: Proceedings of the Workshop Towards Semantic Virtual Environments (SVE 2005), Villars, Switzerland, pp. 101–109 (2005)Google Scholar
  32. 32.
    Kidmose Rytz, B., Sylvest, J., Brown, A.: Study on Labelling of Textile Products (2010)Google Scholar

Copyright information

© Springer International Publishing AG 2017

Authors and Affiliations

  1. 1.Universität der Bundeswehr MünchenNeubibergGermany

Personalised recommendations