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Knowledge Discovery in Databases (KDD) is a complex and computationally intensive process, that requires a repeated interaction between tools and users, often in a distributed environment. Given the complexity of the process, both naïve and expert users need some support to effectively perform knowledge discovery. In this paper we present a user-and knowledge-centric approach to support the design of KDD projects. Semantic technologies are exploited to support sharing and (re-)use of KDDdoi:10.1504/ijmso.2014.065428 fatcat:kzrsyv7ghbg5bpf5jq6hfxf3za