DRUID

The objective of the Druid team is to provide models and algorithms for the annotation and management of interlinked data and sources at a large scale. We consider three main goals :
1. To propose well-founded models for interlinked data and, more importantly, interlinked data sources (for example, profiling users in a social network, orchestrating users and tasks in a crowdsourcing platform),
2. To develop theories for the qualification of such data and sources in terms of reliability, certainty, provenance, influence, economical value, trust, etc.
3. To implement systems that are proof-of-concepts of these models and theories. In particular we would like to demonstrate that these systems can
overcome specific key problems in real-world applications, such as scalable data qualification and data adaptation to the final users.