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Inconsistency measures for probabilistic knowledge bases

Nguyen, Van Tham and Tran, Trong Hieu (2017) Inconsistency measures for probabilistic knowledge bases. In: The 2017 International Conference on Knowledge and Systems Engineering (KSE), 19-21 October 2017, Hue, Vietnam.

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One of the major concerns in knowledge integration is inconsistencies in knowledge bases. An inconsistency measure is a tool that helps analyzing inconsistency knowledge bases and resolving inconsistencies. In recent years, a wide range of measures with desirable properties have been proposed, however, these measures often correspond to logical, or probabilistic-logical framework. In this paper, we investigate several inconsistency measures and their properties for the knowledge bases represented by probabilistic framework.

Item Type: Conference or Workshop Item (Paper)
Subjects: Information Technology (IT)
Divisions: Faculty of Information Technology (FIT)
Depositing User: Hà Quang Thụy
Date Deposited: 29 Dec 2017 08:48
Last Modified: 04 Jan 2018 14:28

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