The department develops theoretical models and computational tools adapted to open, decentralized and cooperative systems. Such features belong to the common landscape of current and future Information Technology Applications. From the web of things and virtual worlds to the smarter planet, through grid and cloud computing, the world is becoming increasingly instrumented and inter-connected. In such a context, the research developed in the department aims at addressing the challenges attached to the development of a transparent and intelligent mediation between contents, services, people and smart objects in the global context of the Web. Besides its social dimension, this mediation is increasingly and strongly connecting contents and services to the smart objects populating our surrounding physical world. Researches are organized along three main directions:
- Digital Content Access and Use: development of Semantic technology and context awareness mechanisms for Digital Content access and use. The aim is to investigate how information retrieval techniques, assistance techniques could take benefit of richer user profiles, context awareness mechanisms and semantically enriched information. Keywords: Information retrieval, Semantic Technologies, Text Mining, Context Modeling
- Coordination and Adaptation: pro-activity and reactivity for Services Coordination and Adaptation. We are considering the development of coordination techniques such that heterogeneously designed, developed or discovered components embedded in an environment which is likely to change, with possible impact on individual and collective objective, could inter-operate, inter-connect across legal, temporal, or organizational boundaries, These coordination techniques take place in the absence of centralized controllers with the possibility that components will not comply with the given specifications; Keywords: Multi-Agent Systems, Self-Organizing Systems
- Trust and privacy in digital society: we are developing models of trust/reputation and normative systems in the context of privacy preserving within applications deployed on the Web. The challenge is to propose and to provide the user with a platform where his/her privacy is preserved as personal data are shared while expecting an increased tailored interaction with the system. Keywords: trust, reputation, trust management systems
These studies contribute to the fields of Information Retrieval, Trust and Security, Trace Analysis and Multi-Agent Systems, and more generally to the challenging application domains of Web Intelligence and Ambient Intelligence. The applications developed in the department concern smart digital enterprises, smart cities and territories, complex system design.