An automated approach for retrieving hierarchical data from HTML tables
Proceedings of the eighth international conference on Information and knowledge management
A flexible learning system for wrapping tables and lists in HTML documents
Proceedings of the 11th international conference on World Wide Web
A machine learning based approach for table detection on the web
Proceedings of the 11th international conference on World Wide Web
A framework for web table mining
Proceedings of the 4th international workshop on Web information and data management
User interface of a nonvisual table navigation method
CHI '99 Extended Abstracts on Human Factors in Computing Systems
Table extraction using conditional random fields
Proceedings of the 26th annual international ACM SIGIR conference on Research and development in informaion retrieval
Detection, Extraction and Representation of Tables
ICDAR '03 Proceedings of the Seventh International Conference on Document Analysis and Recognition - Volume 1
Visually guided bottom-up table detection and segmentation in web documents
Proceedings of the 15th international conference on World Wide Web
Towards domain-independent information extraction from web tables
Proceedings of the 16th international conference on World Wide Web
Automatic searching of tables in digital libraries
Proceedings of the 16th international conference on World Wide Web
Table Recognition and Understanding from PDF Files
ICDAR '07 Proceedings of the Ninth International Conference on Document Analysis and Recognition - Volume 02
Browsing large HTML tables on small screens
Proceedings of the 21st annual ACM symposium on User interface software and technology
Enabling Interactive Access to Web Tables
Proceedings of the 13th International Conference on Human-Computer Interaction. Part I: New Trends
Hi-index | 0.00 |
Tables are very important carriers of the vast information on the Internet and are widely used in web pages. However, most designs of web tables are only for desktop PCs and just focus on how to visually and logically show large amount of data without considering their visual effects on smallscreen devices. Therefore, users suffer inconvenience when browsing web tables on smartphone. In this paper, we propose to enable efficient browsing and manipulation of web tables on smartphone in order to solve the problems of both information retrieval and content replication from web tables. We implemented a mobile web browser on Android 2.1 platform, which deals with web tables in three steps: genuine table detection, table understanding and user interface design. We conducted a user study to test the effects that users used such tool. Experimental results show that the tool increases users' browsing efficiency of web tables and the novel browsing and manipulation modes are well accepted by users.