The role of attorney mental models of law in case relevance determinations: an exploratory analysis
Journal of the American Society for Information Science - Special issue: relevance research
Modern Information Retrieval
Information Visualization and Visual Data Mining
IEEE Transactions on Visualization and Computer Graphics
GOOSE: A Goal-Oriented Search Engine with Commonsense
AH '02 Proceedings of the Second International Conference on Adaptive Hypermedia and Adaptive Web-Based Systems
Inventing discovery tools: combining information visualization with data mining
Information Visualization
Personalised hypermedia presentation techniques for improving online customer relationships
The Knowledge Engineering Review
An intelligent tutoring system for visual classification problem solving
Artificial Intelligence in Medicine
Multimedia data management to assist tissue microarrays design
AIME'05 Proceedings of the 10th conference on Artificial Intelligence in Medicine
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New technologies and equipment allow for mass treatment of samples and research teams share acquired data on an always larger scale. In this context scientists are facing a major data exploitation problem. More precisely, using these data sets through data mining tools or introducing them in a classical experimental approach require a preliminary understanding of the information space, in order to direct the process. But acquiring this grasp on the data is a complex activity, which is seldom supported by current software tools. The goal of this paper is to introduce a solution to this scientific data grasp problem. Illustrated in the Tissue MicroArrays application domain, the proposal is based on the synthesis notion, which is inspired by Information Retrieval paradigms. The envisioned synthesis model gives a central role to the study the researcher wants to conduct, through the task notion. It allows for the implementation of a task-oriented Information Retrieval prototype system. Cases studies and user studies were used to validate this prototype system. It opens interesting prospects for the extension of the model or extensions towards other application domains.