A Knowledge Management and Decision Support Model for Enterprises | Zendy

Patrizia Ribino | Zendy; Agnese Augello | Zendy; Giuseppe Lo Re | Zendy; Salvatore Gaglio | Zendy

AI Assistant Blog Pricing

Home ZAIA Blog

Open Access

A Knowledge Management and Decision Support Model for Enterprises

Author(s) -

Patrizia Ribino,

Agnese Augello,

Giuseppe Lo Re,

Salvatore Gaglio

Publication year - 2011

Publication title -

advances in decision sciences

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.178

H-Index - 13

eISSN - 2090-3367

pISSN - 2090-3359

DOI - 10.1155/2011/425820

Subject(s) - computer science , exploit , ontology , knowledge management , decision support system , knowledge representation and reasoning , bayesian network , process (computing) , intelligent decision support system , artificial intelligence , data science , philosophy , computer security , epistemology , operating system

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

The content you want is available to Zendy users.

Already have an account? Click here to sign in.

Having issues? You can contact us here

Accelerating Research