Crowd-based data sourcing (Abstract)
|Crowd-based data sourcing (Abstract)|
|Published in||Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)|
|Keyword(s)||Unknown (Extra: Data sourcing, Mass data, Movie ratings, Searchable database, Social tagging, Traffic information, Web users, Wikipedia, Information systems, Social networking (online), Database systems)|
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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).
Harnessing a crowd of Web users for the collection of mass data has recently become a wide-spread phenomenon . Wikipedia  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 ; and hotel and movie ratings like TripAdvisor  and IMDb .
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