The HADAS group has been known for years for its work on database systems. It has contributed in the following areas: relational data models, snapshots and their semantics, active and temporal databases and object-oriented database systems. Results of our research have direct impact on applications dealing with huge amounts of data and resources largely distributed in pervasive environments, such as data spaces, e-science, hardware, software and firmware observation, autonomic systems, and the Semantic Web.
The current activities of the group are centered on the following themes:
The advent of the web and middleware infrastructures in the early 1990s has profoundly changed the nature of research in databases. The general evolution of our research has been to revisit data management components and to exploit service-based approach for designing adaptable data management systems. Modern database systems are not anymore centralized data storage systems but data management services largely distributed and deployed overdifferent types of computing environments (grids, peer-to-peer networks, sensor networks, ambient and ubiquitous environments). Semantics is at the heart of this research as it is used at all levels of the process of designing or composing data services for handling autonomy, dynamic behavior and heterogeneity of both users and data sources.
We have participated to the WebContent platform for managing distributed repositories of XML and Semantic Web data.
This work bridges the gap between data management and (web) services into a data management platform.
Our contribution is the design of a caching service and a support for composing services.
We are also involved in other ANR projects on service composition for hybrid query processing, handling uncertainty and trust in peer-to-peer data management system, context management for software adaptation, machine-learning-based
query optimization and novel data mining algorithms able to fully exploit the parallelism of multicore machines.
We also collaborate with industry, especially with France Telecom R&D on event composition, rules for autonomic systems, querying data streams coming from heterogeneous sensors.