(ESCW2012; Edouard Chevalier and François-Paul Servant; Renault)

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 dened products - that is, Linked Data. This natural yet fruitful abstraction for product customiza-

tion results in a generic conguration 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.