An effective approach to entity resolution problem using Quasi-Clique and its application to digital libraries

Byung Won On, Ergin Elmacioglu, Dongwon Lee, Jaewoo Kang, Jian Pei

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

16 Citations (Scopus)

Abstract

We study how to resolve entities that contain a group of related elements in them (e.g., an author entity with a list of citations or an intermediate result by GROUP BY SQL query). Such entities, named as grouped-entities, frequently occur in many applications. By exploiting contextual information mined from the group of elements per entity in addition to syntactic similarity, we show that our approach, Quasi-Cllque, improves precision and recall unto 91% when used together with a variety of existing entity resolution solutions, but never worsens them.

Original languageEnglish
Title of host publication6th ACM/IEEE-CS Joint Conference on Digital Libraries 2006
Subtitle of host publicationOpening Information Horizons, JCDL '06
Pages51-52
Number of pages2
DOIs
Publication statusPublished - 2006
Externally publishedYes
Event6th ACM/IEEE-CS Joint Conference on Digital Libraries 2006: Opening Information Horizons, JCDL '06 - Chapel Hill, NC, United States
Duration: 2006 Jun 112006 Jun 15

Publication series

NameProceedings of the ACM/IEEE Joint Conference on Digital Libraries
Volume2006
ISSN (Print)1552-5996

Other

Other6th ACM/IEEE-CS Joint Conference on Digital Libraries 2006: Opening Information Horizons, JCDL '06
Country/TerritoryUnited States
CityChapel Hill, NC
Period06/6/1106/6/15

Keywords

  • Entity resolution
  • Graph partition
  • Name disambiguation

ASJC Scopus subject areas

  • Engineering(all)

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