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Full paper: http://boole.diiga.univpm.it/paper/cts11.pdf
Knowledge Discovery in Databases (KDD), as any scientific experimentation in e-Science, is a complex and
computationally intensive process aimed at gaining knowledge from a huge set of data. Often performed in
distributed settings, a KDD project usually involves a deep interaction between tools and several users with specific expertise, which can be either a co-located group or a geographically distributed virtual team of experts. Given the complexity of the process, such users need some support to achieve their goal of knowledge extraction. This paper introduces KDDesigner, a webbased semantic-driven tool aimed at supporting users in the collaborative design of a KDD process. In this paper we address semantic issues related to the collaborative project managment: tool localization, tool integration, interfaces matchmaking, process execution, team building and process versioning.
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