Section: Overall Objectives
Keywords : information system, user-centered design, information system evaluation, information system validation, knowledge discovery, KDD, data mining, usage mining, document mining, entity ranking semantics checking, Semantic Web, knowledge management, ontology management, ontology extraction, information retrieval, recommender system, Web mining, Semantic Web mining, data stream mining, transportation system, tourism, World Wide Web.
AxIS is carrying out research in the area of Information Systems (ISs) with a special interest in evolving ISs such as Web based-information Systems. Our 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. Since ISs are in constant evolution, it is necessary to anticipate the usage and the maintenance very early in the design process. Four main applicative objectives are addressed by the team:
supporting the design, validation/evaluation, maintenance, of evolving ISs (cf. section 3.2 );
developing methods and tools to support both usage analysis (cf. section 3.3 ) and information retrieval (cf. sections 3.4 );
developing methods and tools to facilitate ISs improvement or the re-design by cross-checking content &structure analysis with usage analysis;
and finally, supporting knowledge management in designing and evaluating ISs in order to facilitate the reuse of past experiences.
To achieve such objectives in July 2003, we set up a multidisciplinary team (from Artificial Intelligence, Data Mining & Analysis, Software Engineering, Document management) and recently from Ergonomics, in the world of 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 the “static” aspects of ISs (structure, documents, ontologies),
the usage point of view, related to the dynamic aspects of ISs i.e. both the design of support tools (information retrieval, recommender systems) and the analysis of its ”dynamic use” (usage mining).
the knowledge management point of view, i.e. the capitalization of knowledge and experience in the evaluation process of IS: expertise in combining the evaluation results according to different points of view