Cartec is an industrial research project which focuses on the analysis of the temporal evolution of hypermedia information data sets that evolve in a random way, in order to transform them into a structured corpus. This transformation raises three main issues, forming the three main activities of the project: 1. The ability to crawl a data set, whose evolution is unknown and variable amongst its documents; 2. How to index information so as to be able to search and navigate within the corpus, as well as to analyze its evolution; 3. Information storage: in order to encode the temporal variations of a result set and to display them at query time. Taking into account the technical features and constraints of this issues, it's essential to make the different modules work in an asynchronous way, with monitoring and synchronizing features and a global configuration process. For example, the document analysis would lead to define the document crawling frequencies. Cartec will apply its result in the global frame of the temporal indexation of the World Wide Web. This context enables to focus on applications in the field of large scale information intelligence. Finally, Cartec collaboration process will privilege short cycles. This feature enables concrete advances - and injection of these advances in the main product during the main project life cycle. This operational mode takes profit from the chosen duration (36 months) to build a long term vision and to plan short terms results according to the partners ambitions and industrial projects.