understanding, manipulating and searching hand-drawn concept maps

ISCAS OpenIR

	understanding, manipulating and searching hand-drawn concept maps
	Jiang Yingying; Tian Feng; Zhang Xiaolong; Dai Guozhong; Wang Hongan
	2011
发表期刊	ACM Transactions on Intelligent Systems and Technology
ISSN	2157-6904
卷号	3 期号:1 页码:-
摘要	Concept maps are an important tool to organize, represent, and share knowledge. Building a concept map involves creating text-based concepts and specifying their relationships with line-based links. Current concept map tools usually impose specific task structures for text and link construction, and may increase cognitive burden to generate and interact with concept maps. While pen-based devices (e.g., tablet PCs) offer users more freedom in drawing concept maps with a pen or stylus more naturally, the support for hand-drawn concept map creation and manipulation is still limited, largely due to the lack of methods to recognize the components and structures of hand-drawn concept maps. This article proposes a method to understand hand-drawn concept maps. Our algorithm can extract node blocks, or concept blocks, and link blocks of a hand-drawn concept map by combining dynamic programming and graph partitioning, recognize the text content of each concept node, and build a concept-map structure by relating concepts and links. We also design an algorithm for concept map retrieval based on hand-drawn queries. With our algorithms, we introduce structure-based intelligent manipulation techniques and ink-based retrieval techniques to support the management and modification of hand-drawn concept maps. Results from our evaluation study show high structure recognition accuracy in real time of our method, and good usability of intelligent manipulation and retrieval techniques. © 2011 ACM.; Concept maps are an important tool to organize, represent, and share knowledge. Building a concept map involves creating text-based concepts and specifying their relationships with line-based links. Current concept map tools usually impose specific task structures for text and link construction, and may increase cognitive burden to generate and interact with concept maps. While pen-based devices (e.g., tablet PCs) offer users more freedom in drawing concept maps with a pen or stylus more naturally, the support for hand-drawn concept map creation and manipulation is still limited, largely due to the lack of methods to recognize the components and structures of hand-drawn concept maps. This article proposes a method to understand hand-drawn concept maps. Our algorithm can extract node blocks, or concept blocks, and link blocks of a hand-drawn concept map by combining dynamic programming and graph partitioning, recognize the text content of each concept node, and build a concept-map structure by relating concepts and links. We also design an algorithm for concept map retrieval based on hand-drawn queries. With our algorithms, we introduce structure-based intelligent manipulation techniques and ink-based retrieval techniques to support the management and modification of hand-drawn concept maps. Results from our evaluation study show high structure recognition accuracy in real time of our method, and good usability of intelligent manipulation and retrieval techniques. © 2011 ACM.
收录类别	EI
关键词	Algorithms Dynamic Programming Intelligent Robots Personal Computers
部门归属	(1) Institute of Software Chinese Academy of Sciences Beijing China; (2) College of Information Sciences and Technology Pennsylvania State University PA 16802 United States; (3) State Key Lab of Computer Science Institute of Software Chinese Academy of Sciences Beijing China
语种	英语
WOS记录号	WOS:000313763200011
引用统计
内容类型	期刊论文
URI标识	http://ir.iscas.ac.cn/handle/311060/16183
专题	中国科学院软件研究所
推荐引用方式 GB/T 7714	Jiang Yingying,Tian Feng,Zhang Xiaolong,et al. understanding, manipulating and searching hand-drawn concept maps[J]. ACM Transactions on Intelligent Systems and Technology,2011,3(1):-.
APA	Jiang Yingying,Tian Feng,Zhang Xiaolong,Dai Guozhong,&Wang Hongan.(2011).understanding, manipulating and searching hand-drawn concept maps.ACM Transactions on Intelligent Systems and Technology,3(1),-.
MLA	Jiang Yingying,et al."understanding, manipulating and searching hand-drawn concept maps".ACM Transactions on Intelligent Systems and Technology 3.1(2011):-.