2016 International Conference on Big Data and Smart Computing (BigComp) (2016)
Hong Kong, China
Jan. 18, 2016 to Jan. 20, 2016
Hailong Liu , Northwestern Polytechnical University, Xi'an, China
Zhanhuai Li , Northwestern Polytechnical University, Xi'an, China
Cheqing Jin , East China Normal University, Shanghai, China
Qun Chen , Northwestern Polytechnical University, Xi'an, China
It is critical to detect and correct information errors effectively to achieve higher data quality in many applications. Most existing techniques only use the intrinsic information to detect and correct a database, provided that data is adequate and well-structured. These techniques will not work properly if there is no sufficient data available. Integrating the information from external sources, like the World Wide Web (WWW), can help us overcome the shortcomings of existing techniques to a great extent. In this paper, we introduce our on-going work that is capable of detecting and correcting data errors in a database by integrating external information from the WWW. The goal of our research is to pursuit another effective way to enhance information quality.
World Wide Web, Databases, Knowledge based systems, Computational fluid dynamics, Data mining, Web sites, Strain
Hailong Liu, Zhanhuai Li, Cheqing Jin and Qun Chen, "Web-based techniques for automatically detecting and correcting information errors in a database," 2016 International Conference on Big Data and Smart Computing (BigComp)(BIGCOMP), Hong Kong, China, 2016, pp. 261-264.