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| understanding, manipulating and searching hand-drawn concept maps | |
| Jiang Yingying; Tian Feng; Zhang Xiaolong; Dai Guozhong; Wang Hongan | |
| 2011 | |
| Source | ACM Transactions on Intelligent Systems and Technology
 |
| ISSN | 2157-6904 |
| Volume | 3Issue:1Pages:- |
| English Abstract | 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. |
| Indexed Type | EI |
| Keyword | Algorithms Dynamic Programming Intelligent Robots Personal Computers |
| Department | (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 |
| Language | 英语 |
| WOS ID | WOS:000313763200011 |
| Citation statistics | |
| Content Type | 期刊论文 |
| URI | http://ir.iscas.ac.cn/handle/311060/16183 |
| Collection | 中国科学院软件研究所 |
| Recommended Citation 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):-. |
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