Abstract :
The Business Intelligence (BI) traditional goals still stay: provide the right information users in organization with right information at the right time and place. The BI systems by their nature demonstrate as heterogeneous, while all plans to unify them eventually fail. Moreover the expectations of R&D of proactive BI let us conclude, the heterogeneity may become chaotic. We claim that, for mastering such a heterogeneous and dynamic system, a programmatically accessible and self managed knowledge management system, capable of storing and representing the whole content of a BI system is required. The properties of Knowledge Management Structures (KMS), combined with intelligent agents (IA) and Multi-agent systems (MAS) show great capabilities, and have, in limited scope, proved their strengths, acting in heterogeneous svstems. In the following paper we synthesized the state of the art research in the fields of BI, KMS, IA and tried to fill a gap disabling successful application of IA for management of KMS in a dynamical environment. To do so, a model of an IA, capable of reasoning and acting in a dynamic KMS environment and sharing its knowledge is presented.
Keywords :
belief maintenance; competitive intelligence; inference mechanisms; knowledge management; multi-agent systems; BDI based model; BI knowledge intensive environment; BI system; business intelligence; heterogeneous svstems; intelligent agents; knowledge management structures; multiagent systems; programmatically accessible knowledge management system; reasoning engines; self managed knowledge management system; Bismuth; Data acquisition; Data analysis; Environmental economics; Environmental management; Information analysis; Intelligent agent; Knowledge management; Research and development; Technology management; BDI; Business intelligence; Intelligent Agents; Knowledge management; MAS; Ontologies;
