Product Customization as Linked Data

  • Edouard Chevalier
  • François-Paul Servant
Conference paper

DOI: 10.1007/978-3-642-30284-8_47

Volume 7295 of the book series Lecture Notes in Computer Science (LNCS)
Cite this paper as:
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

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 

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

Copyright information

© Springer-Verlag Berlin Heidelberg 2012

Authors and Affiliations

  • Edouard Chevalier
    • 1
  • François-Paul Servant
    • 1
  1. 1.Renault SAPlessis RobinsonFrance