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.
![[img]](https://eprints.uet.vnu.edu.vn/eprints/style/images/fileicons/application_pdf.png) |
PDF
Download (1MB) |
Abstract
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 |
| URI: | http://eprints.uet.vnu.edu.vn/eprints/id/eprint/2889 |
Actions (login required)
 |
View Item |
