Crowd-based data sourcing (Abstract)

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

Abstract

Harnessing a crowd of Web users for the collection of mass data has recently become a wide-spread phenomenon [9]. Wikipedia [20] is probably the earliest and best known example of crowd-sourced data and an illustration of what can be achieved with a crowd-based data sourcing model. Other examples include social tagging systems for images, which harness millions of Web users to build searchable databases of tagged images; traffic information aggregators like Waze [17]; and hotel and movie ratings like TripAdvisor [19] and IMDb [18].

Original languageEnglish
Title of host publicationDatabases in Networked Information Systems - 7th International Workshop, DNIS 2011, Proceedings
Pages64-67
Number of pages4
DOIs
StatePublished - 2011
Event7th International Workshop on Databases in Networked Information Systems, DNIS 2011 - Aizu-Wakamatsu, Japan
Duration: 12 Dec 201114 Dec 2011

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume7108 LNCS

Conference

Conference7th International Workshop on Databases in Networked Information Systems, DNIS 2011
Country/TerritoryJapan
CityAizu-Wakamatsu
Period12/12/1114/12/11

All Science Journal Classification (ASJC) codes

  • Theoretical Computer Science
  • General Computer Science

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