Wisdom of the Crowd
Papers from the 2012 AAAI Spring Symposium
Caroline Pantofaru, Sonia Chernova, Alex Sorokin, Program Cochairs
Technical Report SS-12-06. Published by The AAAI Press, Palo Alto, California. This technical report is also available in book and CD format.
Contents
Preface
Caroline Pantofaru, Sonia Chernova, Alex Sorokin
CrowdREquire: A Requirements Engineering Crowdsourcing Platform
Adedamola Adepetu, Ahmed Altaf Khaja, Yousif Al Abd, Aaesha Al Zaabi, Davor Svetinovic
Kinect@Home: Crowdsourcing a Large 3D Dataset of Real Environments
Alper Aydemir, Daniel Henell, Roy Shilkrot, Patric Jensfelt
Efficient Crowdsourcing With Stochastic Production
Ruggiero Cavallo, Shaili Jain
Sifu: Interactive Crowd-Assisted Language Learning
Cheng-wei Chan, Jane Yung-jen Hsu
Crowdsourcing Evaluations of Classifier Interpretability
Amanda Hutton, Alexander Liu, Cheryl Martin
Improving Crowd Labeling through Expert Evaluation
Faiza Khan Khattak, Ansaf Salleb-Aouissi
Quality Control in Crowdsourcing: An Objective Measurement Approach to Identifying and Correcting Rater Effects in the Social Evaluation of Products and Services
Rense Lange, Xavier Lange
Ontology Alignment through Argumentation
Nuno Luz, Nuno Silva, Paulo Maio, Paulo Novais
The Role of AI in Wisdom of the Crowds for the Social Construction of Knowledge on Sustainability
Mary Lou Maher
The Crowd and the Web of Linked Data: A Provenance Perspective
Milan Markovic, Peter Edwards, David Corsar, Jeff Z. Pan
Tracking Epidemics with Natural Language Processing and Crowdsourcing
Robert Munro, Lucky Gunasekara, Stephanie Nevins, Lalith Polepeddi, Evan Rosen
Pragmatic Analysis of Crowd-Based Knowledge Production Systems with iCAT Analytics: Visualizing Changes to the ICD-11 Ontology
Jan Pöschko, Markus Strohmaier, Tania Tudorache, Natalya F. Noy, Mark A. Musen
Crowdsourcing Tasks in Open Query Answering
Elena Simperl, Barry Norton, Denny Vrandecic
Using Crowdsourcing to Improve Profanity Detection
Sara Owsley Sood, Judd Antin, Elizabeth Churchill
The Aggregative Contingent Estimation System: Selecting, Rewarding, and Training Experts in a Wisdom of Crowds Approach to Forecasting
Dirk B. Warnaar, Edgar C. Merkle, Mark Steyvers, Thomas S. Wallsten, Eric R. Stone, David V. Budescu, J. Frank Yates, Winston R. Sieck, Hal R. Arkes, Chris F. Argenta, Youngwon Shin, Jennifer N. Carter
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