JOURNAL ARTICLE

A next generation knowledge management system architecture

Abstract

The explosive growth in online information is making it harder for large, globally distributed organizations to foster collaboration and leverage their intellectual assets. Recently, there has been a growing interest in the development of next generation knowledge management systems focussing on the artificial intelligence based technologies. We propose a generic knowledge management system architecture based on ADIPS (agent-based distributed information processing system) framework. This contributes to the stream of research on intelligent KM system to supports the creation, acquisition, management, and sharing of information that is widely distributed over a network system. It will benefit the users through the automatic provision of timely and relevant information with minimal effort to search for that information. Ontologies which stand out as a keystone of new generation of multiagent information systems, are used for the purpose of structuring the resources. This framework provides personalized information delivery, identifies items of interest to user proactively and enables unwavering management of distributed intellectual assets.

Keywords:
Computer science Leverage (statistics) Structuring Knowledge management Information system Architecture Management information systems Engineering Business Artificial intelligence

Metrics

21
Cited By
0.39
FWCI (Field Weighted Citation Impact)
9
Refs
0.72
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Semantic Web and Ontologies
Physical Sciences →  Computer Science →  Artificial Intelligence
Multi-Agent Systems and Negotiation
Physical Sciences →  Computer Science →  Artificial Intelligence
Service-Oriented Architecture and Web Services
Physical Sciences →  Computer Science →  Information Systems

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