Section: Scientific Foundations
Collaborative systems involve humans and computers. They require to define how to share data and knowledge, how to communicate, how to coordinate, how to keep humans and computers aware about any changes in the system, how to secure the collaboration space, how to preserve privacy of participants, how to index information within the collaboration space.
Collaborative systems have to satisfy both distributed system constraints and human constraints. We have to build dependable and usable systems. Traditional models of data sharing or coordination fails to address issues in collaborative systems. The scientific challenge for ECOO is to propose models and algorithms that allow building collaborative systems that involves computers and humans. ECOO considers collaborative systems not as an application domain but as a research object.
There exist many scientific challenges in collaborative systems. The ECOO team focuses on two complementary dimensions:
Process modeling and enactment. This research direction mainly proposes advanced models for business process, workflow, knowledge building.
Data and knowledge sharing. This research direction relies on consistency and interaction models for data and knowledge sharing, interoperability aspects in data and knowledge sharing.
Both research directions have to validate their results with usage analysis in order to verify if users accept the system.