LinkDB: A probabilistic linkage database system

Ekaterini Ioannou*, Wolfgang Nejdl, Claudia Niederée, Yannis Velegrakis

*Corresponding author for this work

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

Abstract

Entity linkage deals with the problem of identifying whether two pieces of information represent the same real world object. The traditional methodology computes the similarity among the entities, and then merges those with similarity above some specific threshold. We demonstrate LinkDB, an original entity storage and querying system that deals with the entity linkage problem in a novel way. LinkDB is a probabilistic linkage database that uses existing linkage techniques to generate linkages among entities, but instead of performing the merges based on these linkages, it stores them alongside the data and performs only the required merges at run-time, by effectively taking into consideration the query specifications. We explain the technical challenges behind this kind of query answering, and we show how this new mechanism is able to provide answers that traditional entity linkage mechanisms cannot.

Original languageEnglish
Title of host publicationProceedings of SIGMOD 2011 and PODS 2011
Pages1307-1309
Number of pages3
DOIs
Publication statusPublished - 11 Jul 2011
Event2011 ACM SIGMOD and 30th PODS 2011 Conference - Athens, Greece
Duration: 12 Jun 201116 Jun 2011

Conference

Conference2011 ACM SIGMOD and 30th PODS 2011 Conference
Country/TerritoryGreece
CityAthens
Period12/06/1116/06/11

Keywords

  • data integration
  • entity linkage
  • entity resolution

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