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Automotive Ranges as eCommerce Data

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E-Commerce and Web Technologies (EC-Web 2014)

Part of the book series: Lecture Notes in Business Information Processing ((LNBIP,volume 188))

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Abstract

Exposing data about customizable products is a challenging issue, because of the number of features and options customers can choose from, and because of the intricate constraints between them. The lack of a well-established way to publish such data on the web impedes the development of the e-business-related benefits that we could expect. Building on previous work at Renault, this paper shows that a few additions to Schema.org could foster the publishing of data about complex products such as new cars.

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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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  3. Badra, F., Servant, F.-P., Passant, A.: A Semantic Web Representation of a Product Range Specification based on Constraint Satisfaction Problem in the Automotive Industry. In: OSEMA Workshop ESWC (2011), http://ceur-ws.org/Vol-748/paper4.pdf

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© 2014 Springer International Publishing Switzerland

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Servant, FP., Chevalier, E., Jurain, F. (2014). Automotive Ranges as eCommerce Data. In: Hepp, M., Hoffner, Y. (eds) E-Commerce and Web Technologies. EC-Web 2014. Lecture Notes in Business Information Processing, vol 188. Springer, Cham. https://doi.org/10.1007/978-3-319-10491-1_7

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  • DOI: https://doi.org/10.1007/978-3-319-10491-1_7

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-10490-4

  • Online ISBN: 978-3-319-10491-1

  • eBook Packages: Computer ScienceComputer Science (R0)

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