University of California - Riverside

Libraries wish to provide users with searchable databases, catalogs, indexes, and other tools to enable information discovery, but using human labor to create these resources is not feasible on a large scale in today's vast online environment. The University of California Riverside Library will conduct research aimed at producing better machine-based, automatically generated metadata to improve the search and retrieval of online content. This project will refine and augment services and accompanying software tools supported with previous IMLS funding in order to expand their automated and semi-automated textual data mining, data extraction, and metadata generation capabilities. The project will create free open source software and will address organizational and sustainability issues relating to metadata generation service(s) for digital libraries.