Title: Semantic web-based profiled knowledge discovery in community of practice

Authors: Paolo Ceravolo, Angelo Corallo, Gianluca Elia

Addresses: Department of Information Technologies, University of Milan, 65 Bramante Street, 26013 Crema, Italy. ' Department of Innovation Engineering, University of Salento, e-Business Management Section – Scuola Superiore ISUFI Monteroni Street, 73100 Lecce, Italy. ' Department of Innovation Engineering, University of Salento, e-Business Management Section – Scuola Superiore ISUFI Monteroni Street, 73100 Lecce, Italy

Abstract: The current economical environment is subject to a continuing pressure to innovate and evolve the momentary equilibrium. In this scenario, knowledge plays a fundamental role in supporting continuous innovation; creating, protecting, diffusing and applying knowledge is a key element in the companies| strategy. A lot of approaches and techniques exist in the knowledge management field, but studies on concrete scenarios are showing that good results can be obtained only by combining |coordination| and |cooperation| actions. This paper introduces the semantic profiled knowledge base (SPKB), a system supporting competencies management. Profiling user|s competencies, the system implement a service guiding the user in querying the database. But competencies are not viewed as a static asset. A data quality refinement process is activated by collecting feedbacks provided by the user. This way, the system can take advantage of both coordinative and cooperative actions.

Keywords: semantic web; knowledge management; KM; collaborative working; ontology; recommendation systems; knowledge discovery; competencies management.

DOI: 10.1504/IJBPIM.2008.024983

International Journal of Business Process Integration and Management, 2008 Vol.3 No.4, pp.256 - 270

Published online: 06 May 2009 *

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