DocumentCode
441927
Title
Knowledge-based hierarchical sketch understanding
Author
Zheng, Wen-Tao ; SUN, ZHENG-XING
Author_Institution
State Key Lab for Novel Software Technol., Nanjing Univ., China
Volume
5
fYear
2005
fDate
18-21 Aug. 2005
Firstpage
2838
Abstract
This article presents a knowledge-based framework for sketch understanding. Compared to traditional sketch understanding systems, it has two significant features: (1) knowledge-based. This makes the system independent of applied domain. Users can easily design an ontology-based domain knowledge base to guide the understanding process. (2) hierarchical approach. The sketch understanding process is divided into three phases: token recognition, salient symbol recognition and integral recognition. During all these phases, domain knowledge is used as a guider. In addition, a domain knowledge base of UML class diagram is presented as a case study of this framework, in which the details of how to design ontology-based knowledge base and how to implement a hierarchical recognition are given. Some UML class diagram sketches are used as experiments, which produce satisfactory results.
Keywords
Unified Modeling Language; handwriting recognition; knowledge based systems; ontologies (artificial intelligence); UML class diagram; hierarchical recognition; integral recognition; knowledge-based hierarchical sketch understanding; ontology-based domain knowledge base; salient symbol recognition; token recognition; Automatic speech recognition; Handwriting recognition; Hardware; Learning systems; Ontologies; Shape; Speech recognition; Sun; Unified modeling language; User interfaces; Knowledge base; Sketch understanding; ontology;
fLanguage
English
Publisher
ieee
Conference_Titel
Machine Learning and Cybernetics, 2005. Proceedings of 2005 International Conference on
Conference_Location
Guangzhou, China
Print_ISBN
0-7803-9091-1
Type
conf
DOI
10.1109/ICMLC.2005.1527426
Filename
1527426
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