An approach to measure quality of knowledge in the e-decisional community

Authors:
Leonardo Mancilla-Amaya;Cesar Sanín;Edward Szczerbicki
Affiliations:
School of Engineering, Faculty of Engineering and Built Environment, The University of Newcastle, NSW, Australia;School of Engineering, Faculty of Engineering and Built Environment, The University of Newcastle, NSW, Australia;School of Engineering, Faculty of Engineering and Built Environment, The University of Newcastle, NSW, Australia
Venue:
KES'11 Proceedings of the 15th international conference on Knowledge-based and intelligent information and engineering systems - Volume Part II
Year:
2011

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Abstract

Sharing knowledge is an activity that can improve an organization's ability to make better decisions and adapt faster to unexpected situations. As a consequence, using measures to determine the quality of the knowledge that is shared by individuals and enterprises will improve decision-making processes and the accuracy of their outcomes. This paper presents a new approach for measuring quality of knowledge in the e-Decisional Community, an integrated knowledge sharing platform that aims at the creation of markets where knowledge is provided as a service.