Crowdsourcing for Entity-centric Information Access
Speakers: Gianluca Demartini
Topic(s): Artificial Language/Machine Learning,Databases & Information,Knowledge Discovery in Data,Web Topics
Crowdsourcing is a novel approach used to obtain data processing at scale. In this talk I will introduce the dynamics of crowdsourcing platforms and provide examples of their use to build hybrid human-machine systems. I will then present ZenCrowd: an hybrid system for entity linking and data integration problems over linked data showing how the use of human intelligence at scale in combination with machine-based algorithms outperforms traditional systems. Finally, we will also discuss how to use Linked Open Data on top of classic NLP pipelines for selecting entity types to support users browsing and reading Web pages.
About this Lecture
Number of Slides: 40
Duration: 45 minutes
Languages Available: English
Last Updated: 12-09-2015
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