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We tackle the problem of entity linking for large collections of online pages; Our system, ZenCrowd, identifies entities from natural language text using state of the art techniques and automatically connects them to the Linked Open Data cloud. We show how one can take advantage of human intelligence to improve the quality of the links by dynamically generating micro-tasks on an online crowdsourcing platform. We develop a probabilistic framework to make sensible decisions about candidate linksdoi:10.1145/2187836.2187900 dblp:conf/www/DemartiniDC12 fatcat:ywleux4n2bdlzmavh4x5jrx5xy