Categorization of computing education resources with utilization of crowdsourcing

Authors:
Yinlin Chen;Paul Logasa Bogen, II;Haowei Hsieh;Edward A. Fox;Lillian N. Cassel
Affiliations:
Virginia Tech, Blacksburg, VA, USA;Oak Ridge National Laboratory, Oak Ridge, TN, USA;University of Iowa, Iowa City, IA, USA;Virginia Tech, Blacksburg, VA, USA;Villanova University, Villanova , PA, USA
Venue:
Proceedings of the 12th ACM/IEEE-CS joint conference on Digital Libraries
Year:
2012

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Abstract

The Ensemble Portal harvests resources from multiple heterogeneous federated collections. Managing these dynamically increasing collections requires an automatic mechanism to categorize records in to corresponding topics. We propose an approach to use existing ACM DL metadata to build classifiers for harvested resources in the Ensemble project. We also present our experience with utilizing the Amazon Mechanical Turk platform to build ground truth training data sets from Ensemble collections.