The aim of this paper is to illustrate the approach and the solutions that have been adopted by the MILK system to deliver a knowledge management environment to support workers during their every-day activities. The main goal of MILK is to collect and organize the knowledge associated with documents and projects within an organization. Profiling through metadata is the approach to classify, organize, retrieve and present knowledge. People are also profiled and organized in project teams and communities of interest to capture user needs and let the system supply users with comprehensive access to knowledge.

Boselli, R., DE PAOLI, F., Dondi, R. (2003). Knowledge Organization and Retrieval in the MILK System. In Proceedings of the 15th International Conference on Software Engineering and Knowledge Engineering SEKE' 2003 (pp.372-376). Skokie, IL, USA : Knowledge Systems Institute.

Knowledge Organization and Retrieval in the MILK System

BOSELLI, ROBERTO;DE PAOLI, FLAVIO MARIA;
2003

Abstract

The aim of this paper is to illustrate the approach and the solutions that have been adopted by the MILK system to deliver a knowledge management environment to support workers during their every-day activities. The main goal of MILK is to collect and organize the knowledge associated with documents and projects within an organization. Profiling through metadata is the approach to classify, organize, retrieve and present knowledge. People are also profiled and organized in project teams and communities of interest to capture user needs and let the system supply users with comprehensive access to knowledge.
paper
knowledge management, MILK system, ontologies, knowledge organization
English
Software Engineering and Knowledge Engineering SEKE
2003
Proceedings of the 15th International Conference on Software Engineering and Knowledge Engineering SEKE' 2003
1-891706-12-8
giu-2003
372
376
none
Boselli, R., DE PAOLI, F., Dondi, R. (2003). Knowledge Organization and Retrieval in the MILK System. In Proceedings of the 15th International Conference on Software Engineering and Knowledge Engineering SEKE' 2003 (pp.372-376). Skokie, IL, USA : Knowledge Systems Institute.
File in questo prodotto:
Non ci sono file associati a questo prodotto.

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/10281/5742
Citazioni
  • Scopus ND
  • ???jsp.display-item.citation.isi??? ND
Social impact