david > ADAM


Themes and objectives

The ADAM team’s research focuses on the management of massive data, characterized by large-scale distribution, high heterogeneity and dynamism. Whether produced by sensors or mobile devices or available on the Web or in specialized databases, the valuation of these data requires a set of services with high added value, such as the modeling of imperfect or incomplete data. , integration and data fusion, complex query definition and execution, and data mining. The main locks associated with these services are of a semantic nature (to interpret the data despite their heterogeneity, their imperfection or the absence of schemas for some of them), of computational order (to execute complex queries on large distributed architectures). scale) and contextual (adapt the results to the user’s context and preferences).