Structuring and Manipulating Hand-Drawn Concept Maps
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 handdrawn concept maps. We propose 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. Based on the technique, a note-taking tool IdeaNote is developed. It not only supports natural note taking, but also supports efficient note editing. Besides research related to hand-drawn concept map, I will also introduce our work on other ink computing techniques and the systems we have developed.
Yingying Jiang
Institute of Software, Chinese Academy of Sciences
国际会议
2010 4th International Universal Communication Symposium(第四届国际普遍交流学术研讨会 IUCS 2010)
北京
英文
23
2010-10-18（万方平台首次上网日期，不代表论文的发表时间）