Crowd-based data sourcing (Abstract)

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Crowd-based data sourcing (Abstract) is a 2011 conference paper written in English by Milo T. and published in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics).

[edit] 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].

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