Data fusion: Resolving conflicts from multiple sources

Xin Luna Dong, Laure Berti-Equille, Divesh Srivastava

Research output: Chapter in Book/Report/Conference proceedingConference contribution

8 Citations (Scopus)

Abstract

Many data management applications, such as setting up Web portals, managing enterprise data, managing community data, and sharing scientific data, require integrating data from multiple sources. Each of these sources provides a set of values and different sources can often provide conflicting values. To present quality data to users, it is critical to resolve conflicts and discover values that reflect the real world; this task is called data fusion. This paper describes a novel approach that finds true values from conflicting information when there are a large number of sources, among which some may copy from others. We present a case study on real-world data showing that the described algorithm can significantly improve accuracy of truth discovery and is scalable when there are a large number of data sources.

Original languageEnglish
Title of host publicationWeb-Age Information Management - 14th International Conference, WAIM 2013, Proceedings
Pages64-76
Number of pages13
DOIs
Publication statusPublished - 16 Jul 2013
Event14th International Conference on Web-Age Information Management, WAIM 2013 - Beidaihe, China
Duration: 14 Jun 201316 Jun 2013

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume7923 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Other

Other14th International Conference on Web-Age Information Management, WAIM 2013
CountryChina
CityBeidaihe
Period14/6/1316/6/13

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ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

Cite this

Dong, X. L., Berti-Equille, L., & Srivastava, D. (2013). Data fusion: Resolving conflicts from multiple sources. In Web-Age Information Management - 14th International Conference, WAIM 2013, Proceedings (pp. 64-76). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 7923 LNCS). https://doi.org/10.1007/978-3-642-38562-9-7