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.

Semantic web-based profiled knowledge discovery in community of practice / P. Ceravolo, A. Corallo, G. Elia. - In: INTERNATIONAL JOURNAL OF BUSINESS PROCESS INTEGRATION AND MANAGEMENT. - ISSN 1741-8763. - 3:4(2008), pp. 256-270. [10.1504/IJBPIM.2008.024983]

Semantic web-based profiled knowledge discovery in community of practice

P. Ceravolo
Primo
;
2008

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.
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 INF/01 - Informatica
2008
Article (author)
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/2434/457662
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