Crowd-based data sourcing (Abstract)

Tova Milo*

*Corresponding author for this work

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

2 Scopus citations

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
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

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

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