A semantic-aided Designer for Knowledge Discovery

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 web-based 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.