Section: Overall Objectives
Keywords : information system, user-centered design, information system evaluation, information system validation, knowledge discovery, KDD, data mining, usage mining, document mining, semantics checking, Semantic Web, knowledge management, ontology management, ontology extraction, information retrieval, recommender system, Web mining, Semantic Web mining, data stream mining, transportation, tourism, World Wide Web.
Objectives
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 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:
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supporting the design, validation/evaluation, maintenance, of evolving ISs (cf. section 3.2 );
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developing methods and tools to support both the usage analysis (cf. section 3.3 ) and information retrieval (cf. sections 3.4 );
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developing methods and tools to facilitate the improvement or the re-design of an IS by confronting content &structure analysis with the usage analysis;
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and finally, supporting the knowledge management in designing and evaluating ISs in order to annotate such complex processes and to facilitate the reuse of past experiences.
To achieve such objectives, we have set up in July 2003 a multidisciplinary team that involves people from different computer sciences domains (Artificial Intelligence, Data Mining & Analysis, Software Engineering, Document management) and recently from Ergonomics, all of them being involved in the world of information systems.
The research topics related to our objectives are presented in Figure 1 according to three points of view:
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the structure and content point of view related to the design and the evaluation of the ``static'' aspects of ISs (structure, documents, ontologies),
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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 dynamic'' analysis (usage mining).
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the knowledge management point of view related to the capitalization of knowledge and experience in the evaluation process of IS: expertise in combining the evaluation results according to different points of view and more general KDD(KDD: Knowledge Discovery from Databases) expertise applied on information systems data.
