Knowledge Management For Cooperative Design :
Applications in Designing Web Sites or Adaptive Recommender Systems
The AID Action at INRIA Sophia Antipolis is a pluri-disciplinary research group (Artificial Intelligence and Software Engineering) that focusses on the design and the usage analysis of adaptive Web sites/services. The overall motivation is to get better quality sites and offer better navigations on the Web, taking into account the static semantics of the sites (i.e. their context dependent constraints) and their dynamic semantics (i.e. the navigation through the site). Our researches aim in supporting two types of actors which are the designers and the final users of Web sites and in anticipating the usage and the maintenance (due to future evolutions) of such Web sites as early as possible in the design process.
Research Topics :
Web Mining and CBR technics for analysing and reusing user sessions in order to propose personnalised recommandations. Our goal is to design and implement Web adaptive recommander systems (i.e. adaptive Web services) for supporting collaborative information retrieval on the Web and/or for supporting reusing past experiences in design activities;
Software engineering and AI formal technics (mainly the Natural Semantics used to specify programming languages semantics) to help specify, check and maintain static semantics of Web sites and more generally of Web documents;
Methodological and software support in design management of adaptive Web sites (viewed as complex systems), i.e. for supporting viewpoint management and the redesign of such Web sites/services based on an usage analysis. This topic uses the results of the first two ones.
The main results concern the topic ``adaptive recommender systems'' started
in 96 for supporting information retrieval on the Web (or inside a Web site)
with CBR technics (cf. the CBR object-oriented framework
CBR*Tools for reusing past experiences, the Broadway approach with our toolbox Broadway*Tools).