DocumentCode :
693140
Title :
A new hybrid diagrammatic reasoning system
Author :
Shuang-Shuang Yan ; Ning Zhao ; Shi-Zhong Liao
Author_Institution :
Sch. of Comput. Sci. & Technol., Tianjin Univ., Tianjin, China
Volume :
01
fYear :
2013
fDate :
14-17 July 2013
Firstpage :
63
Lastpage :
68
Abstract :
Diagrams are a straightforward knowledge-representation approach to reveal topological and geometrical relations. In contrast to symbolic reasoning with surrogate representation, diagrammatic reasoning uses direct representation. Therefore, combining surrogate and direct representations is a natural approach to diagrammatic reasoning. In this paper, we design and implement a hybrid reasoning system that combines diagrammatic and symbolic reasoning. Statically, the system consists of two components, the graphic perception module and the constraint solving module. The former extracts geometric and spatial information from diagrams, and the latter accomplishes symbolic reasoning. Dynamically, the system works as a production system. In this way, we construct a hybrid diagrammatic reasoning system that reserves the characteristics of diagrams and maintains the effectiveness of symbolic reasoning.
Keywords :
constraint handling; diagrams; geometry; inference mechanisms; knowledge representation; topology; constraint solving module; diagrams characteristics; direct representation; geometric information; geometrical relations; graphic perception module; hybrid diagrammatic reasoning system; knowledge-representation approach; production system; spatial information; surrogate representation; symbolic reasoning; topological relations; Abstracts; Electronic mail; Constraint problem solving; Diagrammatic reasoning; Hybrid reasoning;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Machine Learning and Cybernetics (ICMLC), 2013 International Conference on
Conference_Location :
Tianjin
Type :
conf
DOI :
10.1109/ICMLC.2013.6890445
Filename :
6890445
Link To Document :
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