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Dagstuhl2014

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eXascale Infolab
eXascale Infolab

Intro slides, Dagstuhl seminar on Crowdsourcing and the Semantic Web, Prof. Philippe Cudre-Mauroux, eXascale Infolab, http://exascale.info/

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Prof. Dr. Philippe Cudre-Mauroux 1 http://exascale.info
ZenCrowd Architecture Micro Matching Tasks HTML Pages HTML+ RDFa Pages LOD Open Data Cloud Crowdsourcing Platform Z enCrowd Entity Extractors LOD Index Get Entity Input Output Probabilistic Network Decision Engine Micro- TaskManager Workers Decisions Algorithmic Matchers
Does it Work? • Improves avg. prec. by 0.14 on average! – Minimal crowd involvement – Embarrassingly parallel problem Top US Worker 0 0.5 1 0 250 500 WorkerPrecision Number of Tasks US Workers IN Workers 0.6 0.62 0.64 0.66 0.68 0.7 0.72 0.74 0.76 0.78 0.8 1 2 3 4 5 6 7 8 9 Precision Top K workers
Transactive Search Adapting the concept of transactive memories (group memories) from psychology ➡Transactive search methods to elicit information ■ Social network analysis (to direct the search) ■ Crowdsourcing (to get the information) ■ 46% improvement (F1) over best alternative

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Dagstuhl2014

  • 1. Prof. Dr. Philippe Cudre-Mauroux 1 http://exascale.info
  • 2. ZenCrowd Architecture Micro Matching Tasks HTML Pages HTML+ RDFa Pages LOD Open Data Cloud Crowdsourcing Platform Z enCrowd Entity Extractors LOD Index Get Entity Input Output Probabilistic Network Decision Engine Micro- TaskManager Workers Decisions Algorithmic Matchers
  • 3. Does it Work? • Improves avg. prec. by 0.14 on average! – Minimal crowd involvement – Embarrassingly parallel problem Top US Worker 0 0.5 1 0 250 500 WorkerPrecision Number of Tasks US Workers IN Workers 0.6 0.62 0.64 0.66 0.68 0.7 0.72 0.74 0.76 0.78 0.8 1 2 3 4 5 6 7 8 9 Precision Top K workers
  • 4. Transactive Search Adapting the concept of transactive memories (group memories) from psychology ➡Transactive search methods to elicit information ■ Social network analysis (to direct the search) ■ Crowdsourcing (to get the information) ■ 46% improvement (F1) over best alternative