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.
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Mancilla-Amaya, L., Sanín, C., Szczerbicki, E. (2011). An Approach to Measure Quality of Knowledge in the e-Decisional Community. In: König, A., Dengel, A., Hinkelmann, K., Kise, K., Howlett, R.J., Jain, L.C. (eds) Knowlege-Based and Intelligent Information and Engineering Systems. KES 2011. Lecture Notes in Computer Science(), vol 6882. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-23863-5_63
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DOI: https://doi.org/10.1007/978-3-642-23863-5_63
Publisher Name: Springer, Berlin, Heidelberg
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