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Chinese Academy of Sciences

By Yingying Jiang, Feng Tian Xugang Wang, Xiaolong Zhang, Guozhong Dai and Hongan Wang


Concept maps are an important tool to knowledge organization, representation, and sharing. Most current concept map tools do not provide full support for hand-drawn concept map creation and manipulation, largely due to the lack of methods to recognize hand-drawn concept maps. This paper proposes a structure recognition method. Our algorithm can extract node blocks and link blocks of a hand-drawn concept map by combining dynamic programming and graph partitioning and then build a concept-map structure by relating extracted nodes and links. We also introduce structure-based intelligent manipulation technique of hand-drawn concept maps. Evaluation shows that our method has high structure recognition accuracy in real time, and the intelligent manipulation technique is efficient and effective. ACM Classification: H5.2 [Information Interfaces and Presentation]

Topics: dynamic
Year: 2011
OAI identifier: oai:CiteSeerX.psu:
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