Grubber: Allowing End-Users to Develop XML-Based Wrappers for Web Data Sources

Authors:
Shaohua Yang;Guiling Wang;Yanbo Han
Affiliations:
Institute of Computing Technology, Chinese Academy of Sciences, and Graduate University of Chinese Academy of Sciences, Beijing, P.R. China 100190;Institute of Computing Technology, Chinese Academy of Sciences,;Institute of Computing Technology, Chinese Academy of Sciences,
Venue:
APWeb/WAIM '09 Proceedings of the Joint International Conferences on Advances in Data and Web Management
Year:
2009

Citing 7
Cited 2

Extracting structured data from Web pages

Proceedings of the 2003 ACM SIGMOD international conference on Management of data
Thresher: automating the unwrapping of semantic content from the World Wide Web

WWW '05 Proceedings of the 14th international conference on World Wide Web
Interactive wrapper generation with minimal user effort

Proceedings of the 15th international conference on World Wide Web
A Survey of Web Information Extraction Systems

IEEE Transactions on Knowledge and Data Engineering
Making mashups with marmite: towards end-user programming for the web

Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Mining templates from search result records of search engines

Proceedings of the 13th ACM SIGKDD international conference on Knowledge discovery and data mining
Damia: data mashups for intranet applications

Proceedings of the 2008 ACM SIGMOD international conference on Management of data

Mashroom: end-user mashup programming using nested tables

Proceedings of the 18th international conference on World wide web
Situational data integration with data services and nested table

Service Oriented Computing and Applications

Quantified Score

Hi-index	0.00

Visualization

Abstract

There exist numerous online data sources on the Web. It is desirable to facilitate end-users to build XML-based wrappers from the data sources for further composition and reuse. This paper describes Grubber, a tool that allows end-users to develop XML-based wrappers from these data sources with just a few mouse clicks and keystrokes. An active learning algorithm was proposed and implemented to reduce end-users' effort. Experimental results on real-world sites show that the algorithm can achieve a high degree of effectiveness. Compared with other similar tools, Grubber includes a number of usability improvements to lower the barrier of usage and we believe it is suitable for mass end-users to build situational applications.