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.
|Titolo:||Semantic web-based profiled knowledge discovery in community of practice|
|Autori interni:||CERAVOLO, PAOLO (Primo)|
|Parole Chiave:||practical/ data mining; knowledge management; semantic Web; service industries/ semantic Web based profiled knowledge discovery; continuous innovation support; knowledge management; coordination action; cooperation action; SPKB system; competency management support; user guide service; data quality refinement process; database querying/ C7185; Administration of other service industries C6170K; Knowledge engineering techniques C6160; Database management systems (DBMS) C6130; Data handling techniques E3050; Service industries E0420; Information management E0430: Information resources and networks|
|Settore Scientifico Disciplinare:||Settore INF/01 - Informatica|
|Data di pubblicazione:||2008|
|Digital Object Identifier (DOI):||10.1504/IJBPIM.2008.024983|
|Appare nelle tipologie:||01 - Articolo su periodico|