Discovering High-Value Information from Crowdsourcing
MacKinnon, Douglas J.
Zhou, Charles C.
MetadataShow full item record
We will demonstrate a distributed recursive method, i.e., Lexical Link Analysis (LLA) and an infrastructure, i.e., Collaborative Learning Agents (CLA) to discover high-value information. The combined system is a unified methodology of discovering high-value information from structured and unstructured heterogeneous data sources. We will demonstrate the LLA/CLA system using a crowdsourcing data source and show how it can be used to discover new knowledge for a widening range of applications and heterogeneous data types.
The article of record as published may be found at http://dx.doi.org/10.1145/3110025.3121242
RightsThis publication is a work of the U.S. Government as defined in Title 17, United States Code, Section 101. Copyright protection is not available for this work in the United States.