A semantic-driven auto-adaptive architecture for collaborative ubiquitous systems

Abstract

Ubiquitous computing environments are complex systems containing a great amount of heterogeneous devices and services available to users. Both user needs and services offered to them evolve very fast. This evolution requires the adaptation of the software architectures that support user activities. Moreover, such adaptation must be based on application semantics in order to better respond to user needs in any situation. This paper presents a work in progress that aims to build an architecture enabling the development of adaptive collaborative applications in ubiquitous computing environments. An ontology model, containing generic collaboration knowledge as well as domain-specific knowledge, is proposed in order to enable architecture adaptation and to support spontaneous and implicit sessions inside groups of humans and devices.