A Knowledge Management and Decision Support Model for Enterprises

Abstract EN

We propose a novel knowledge management system (KMS) for enterprises.

Our system exploits two different approaches for knowledge representation and reasoning: a document-based approach based on data-driven creation of a semantic space and an ontology-based model.

Furthermore, we provide an expert system capable of supporting the enterprise decisional processes and a semantic engine which performs intelligent search on the enterprise knowledge bases.

The decision support process exploits the Bayesian networks model to improve business planning process when performed under uncertainty.