Section: Overall Objectives
Keywords : information system, user-centered design, evaluation, knowledge discovery, KDD, data mining, usage mining, document mining, semantics checking, semantic Web, knowledge management, information retrieval, recommender system, Web mining, semantic Web, data stream mining.
Objectives
AxIS leads research in the area of Information Systems (ISs) with a special interest for evolving ISs such as Web based-information Systems. Our ultimate goal is to improve the overall quality of ISs, to support designers during the design process and to ensure ease of use to end users. We are convinced that to reach this goal, according to the constant evolution of web based ISs, it is necessary to anticipate the usage and the maintenance very early in the design process. Four main applicative objectives are then addressed by the team:
-
supporting the design, validation/evaluation, maintenance, of evolving ISs (cf. section 3.2 );
-
developing methods and tools to support both the usage analysis (cf. section 3.3 ) and the use of ISs (cf. sections 3.4 );
-
developing methods and tools to facilitate the improvement or the re-design of an IS by confrontating static analysis with the usage analysis;
-
and finally, at the knowledge level, supporting the knowledge acquisition in designing and evaluating ISs in order to annotate such complex processes and to facilitate the reuse of past experiences.
To achieve such objectives, an interdisciplinary approach is necessary and in fact, the AxIS team, which was created in July 2003, regroups people coming from different domains in computer sciences: Artificial Intelligence, Data Mining & Analysis, Software Engineering, all of them being involved in the world of XML documents and information systems.
The research topics related to our objectives are presented in Figure 1 according to three points of view:
-
the structure and content point of view related to the design and the evaluation of static aspects of ISs (architecture, documents),
-
the usage point of view related to dynamic aspects of ISs i.e. both the design of support tools (information retrieval support tools, recommender systems), the IS use and then the usage analysis (usage mining).
-
the knowledge management point of view related to the capitalization of knowledge and experience in the evaluation process of IS: this concerns the expertise of combining the evaluation results according to different points of view and more generally the KDD (KDD: Knowledge Discovery from Databases)expertise applied on information systems data.
