Evidence theory based knowledge representation

Mohamed, Rozlini and Watada, Junzo (2011) Evidence theory based knowledge representation. iiWAS '11 Proceedings of the 13th International Conference on Information Integration and Web-based Applications and Services .

Full text not available from this repository.

Official URL: http://dl.acm.org/citation.cfm?doid=2095536.209555...

Abstract

Knowledge is presented in various ways such as semantic network. Hierarchical representation is widely used as one of the well-known methods in knowledge representation. Knowledge representation plays a pivotal role in dealing with knowledge, facts, procedures and meanings for solving problems. The knowledge representation is a crucial task in handling problems, and it tends to fail if we do not understand well the problem or situation to model. The aim of this paper is to propose a logical hierarchical structure for knowledge representation in semantic network. We place stress on modeling knowledge from semantic network perspective during analysis phase. This method is known as evidence-based semantic network or ESN. "Scene labeling" is used as an example for the proposed method. The results show the proposed method is easier to understand than original semantic network.

Item Type:Article
Uncontrolled Keywords:evidential reasoning; fault tree analysis; knowledge representation; semantic network
Subjects:L Education > L Education (General)
ID Code:3118
Deposited By:Muhamad Azrul Hisam Salleh
Deposited On:07 Nov 2012 12:13
Last Modified:07 Nov 2012 12:13

Repository Staff Only: item control page