Abstract
Exposing data about customizable products is a challenging issue, because of the number of features and options a customer can choose from, and the many constraints that exist between them. These constraints are not tractable without automatic reasoning. 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. This natural yet fruitful abstraction for product customization results in a generic configuration API, in use at Renault, who has begun publishing data about its range in this way. Current achievements and prototypes of forthcoming developments are presented.
Author supplied keywords
Cite
CITATION STYLE
Chevalier, E., & Servant, F. P. (2015). Product customization as linked data: Demonstration. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 7540, pp. 425–429). Springer Verlag. https://doi.org/10.1007/978-3-662-46641-4_39
Register to see more suggestions
Mendeley helps you to discover research relevant for your work.
