Collaborative management of a repository of KDD processes. (27th October 2014)

• Record Type: Journal Article
• Authors: Diamantini, Claudia; Potena, Domenico; Storti, Emanuele
• Is Part Of: International journal of metadata, semantics and ontologies. Volume 9:Number 4(2014)
• Page Start: 299
• Page End: 311
• Publication Date: 2014-10-27
• Subjects: knowledge discovery in databases -- KDD processes -- support systems -- distributed systems -- collaborative systems -- collaborative environments -- workflows -- process repository -- process clustering -- process discovery -- ontologies -- semantic annotations -- knowledge sharing -- knowledge reuse -- collaborative management -- repositories -- collaboration; Metadata -- Periodicals; Semantic Web -- Periodicals; Ontologies (Information retrieval) -- Periodicals; Data structures (Computer science) -- Periodicals; Information theory -- Periodicals; 005.74
• Languages: English
• ISSNs: 1744-2621

Abstract

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 KDD computational resources and processes in a distributed collaborative environment. In particular, functionalities for tool publishing, service and process discovery, and versioning of processes greatly enhance process management, and provide a learn–by–example and trial–and–test environment for collaborative KDD design. The systematic use of semantic information, a loosely coupled and layered service–oriented architecture and a cooperative and flexible approach results in a platform natively conceived for an open, distributed and collaborative environment.