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Product Customization as Linked Data

  • Conference paper

Part of the Lecture Notes in Computer Science book series (LNISA,volume 7295)

Abstract

Ranges of customizable products are huge and complex, because of the number of features and options a customer can choose from, and the many constraints that exist between them. It could hinder the publishing of customizable product data on the web of e-business data, because constraints are not tractable by agents lacking reasoning capabilities. But the configuration process, which helps a customer to make her choice, one step at a time, is a traversal of a graph of partially defined products - that is, Linked Data. Reasoning being hosted on the server, its complexity is hidden from clients. This results in a generic configuration API, in use at Renault. As configurations can be completed to valid commercial offers, the corresponding ontology fits nicely with GoodRelations. Benefits in e-business related use cases are presented: sharing configurations between media, devices and applications, range comparison based on customer’s interests, ads, SEO.

Keywords

  • configuration
  • customizable product
  • Linked Data
  • GoodRelations
  • automotive

References

  1. Hepp, M.: GoodRelations: An Ontology for Describing Products and Services Offers on the Web. In: Gangemi, A., Euzenat, J. (eds.) EKAW 2008. LNCS (LNAI), vol. 5268, pp. 329–346. Springer, Heidelberg (2008)

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© 2012 Springer-Verlag Berlin Heidelberg

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Chevalier, E., Servant, FP. (2012). Product Customization as Linked Data. In: Simperl, E., Cimiano, P., Polleres, A., Corcho, O., Presutti, V. (eds) The Semantic Web: Research and Applications. ESWC 2012. Lecture Notes in Computer Science, vol 7295. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-30284-8_47

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  • DOI: https://doi.org/10.1007/978-3-642-30284-8_47

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-30283-1

  • Online ISBN: 978-3-642-30284-8

  • eBook Packages: Computer ScienceComputer Science (R0)