Title :
Metadata Extraction System for Chinese Books
Author :
Gao, Liangcai ; Zhong, Yuan ; Tang, Yingmin ; Tang, Zhi ; Lin, Xiaofan ; Hu, Xuan
Author_Institution :
Inst. of Comput. Sci. & Technol., Peking Univ., Beijing, China
Abstract :
Extracting metadata from academic papers has attracted much attention from researchers in past years. But how to extract metadata automatically from books is still seldom discussed. In this paper, we address this task on Chinese books and present a system to extract metadata from the title page of a book. This system consists of three components: metadata segmentation, metadata labeling, and post-processing. Different strategies are adopted in the system to identify different metadata types, and a variety of information sources, including geometric layout, linguistic, semantic content and header-footer, are used to accommodate the wide range of metadata layouts. Experimental results on real-world data have demonstrated the effectiveness of the proposed system.
Keywords :
electronic publishing; information retrieval; learning (artificial intelligence); meta data; Chinese books; academic papers; geometric layout; header-footer; information sources; linguistic; metadata extraction system; metadata labeling; metadata segmentation; post-processing; real-world data; semantic content; Accuracy; Books; Computer architecture; Data mining; Labeling; Microprocessors; Support vector machines; electronic book; metadata extraction; page segmentation;
Conference_Titel :
Document Analysis and Recognition (ICDAR), 2011 International Conference on
Conference_Location :
Beijing
Print_ISBN :
978-1-4577-1350-7
Electronic_ISBN :
1520-5363
DOI :
10.1109/ICDAR.2011.156
