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Truthfulness of candidates in set of t-uples expansion

  • Ngurah Agus Sanjaya Er
  • , Mouhamadou Lamine Ba
  • , Talel Abdessalem
  • , Stéphane Bressan
  • Centre national de la recherche scientifique
  • Université Alioune Diop de Bambey
  • National University of Singapore

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

3 Citations (Scopus)

Abstract

Set of t-uples expansion refers to the task of building a set of t-uples from a corpus based on some examples, or seed t-uples. Set of t-uples expansion requires a ranking mechanism to select the relevant candidates. We propose to harness and compare the performance of different state-of-the-art truth finding algorithms for the task of set of t-uples expansion. We empirically and comparatively evaluate the accuracy of these different ranking algorithms. We show that truth finding algorithms provide a practical and effective solution.

Original languageEnglish
Title of host publicationDatabase and Expert Systems Applications - 28th International Conference, DEXA 2017, Proceedings
EditorsDjamal Benslimane, Amit Sheth, Ernesto Damiani, Abdelkader Hameurlain, William I. Grosky, Roland R. Wagner
PublisherSpringer Verlag
Pages314-323
Number of pages10
ISBN (Print)9783319644677
DOIs
Publication statusPublished - 1 Jan 2017
Event28th International Conference on Database and Expert Systems Applications, DEXA 2017 - Lyon, France
Duration: 28 Aug 201731 Aug 2017

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume10438 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference28th International Conference on Database and Expert Systems Applications, DEXA 2017
Country/TerritoryFrance
CityLyon
Period28/08/1731/08/17

Keywords

  • Evaluation
  • Ranking
  • Seeds
  • Set expansion
  • Truth finding
  • t-uples

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