Web-based techniques for automatically detecting and correcting information errors in a database

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

2 Scopus citations

Abstract

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.

Original languageEnglish
Title of host publication2016 International Conference on Big Data and Smart Computing, BigComp 2016
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages261-264
Number of pages4
ISBN (Electronic)9781467387965
DOIs
StatePublished - 2016
EventInternational Conference on Big Data and Smart Computing, BigComp 2016 - Hong Kong, China
Duration: 18 Jan 201620 Jan 2016

Publication series

Name2016 International Conference on Big Data and Smart Computing, BigComp 2016

Conference

ConferenceInternational Conference on Big Data and Smart Computing, BigComp 2016
Country/TerritoryChina
CityHong Kong
Period18/01/1620/01/16

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