Making collective wisdom wiser

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


Many popular sites, such as Wikipedia and Tripadvisor, rely on public participation to gather information - a process known as crowd data sourcing. While this kind of collective intelligence is extremely valuable, it is also fallible, and policing such sites for inaccuracies or missing material is a costly undertaking. In this talk we will overview the MoDaS project that investigates how database technology can be put to work to effectively gather information from the public, efficiently moderate the process, and identify questionable input with minimal human interaction [1-4, 7]. We will consider the logical, algorithmic, and methodological foundations for the management of large scale crowd-sourced data as well as the development of applications over such information.

Original languageEnglish
Title of host publicationDatabase and Expert Systems Applications - 24th International Conference, DEXA 2013, Proceedings
Number of pages2
EditionPART 1
StatePublished - 2013
Event24th International Conference on Database and Expert Systems Applications, DEXA 2013 - Prague, Czech Republic
Duration: 26 Aug 201329 Aug 2013

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
NumberPART 1
Volume8055 LNCS


Conference24th International Conference on Database and Expert Systems Applications, DEXA 2013
Country/TerritoryCzech Republic

All Science Journal Classification (ASJC) codes

  • Theoretical Computer Science
  • Computer Science(all)


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