Data Science & Metadata Research
To be discoverable by today’s online users, traditional library data must be transformed. OCLC Research analyzes bibliographic data to derive new meaning, insights, and services for use by library and information seekers. This work includes special projects, data science research, engagement with metadata communities, publications and presentations, and the creation of illustrative experimental applications.
Some of our research is manifested in experimental applications. Please note that these are for demonstration and illustrative purposes only. If something isn’t working, or you’d like to share your feedback, please let us know.
ArchiveGrid is a growing collection of over two million archival material descriptions that provides a foundation for OCLC Research collaboration and interactions with the archival community, and also serves as the basis for our experimentation and testing in text mining, data analysis, and discovery system applications and interfaces.
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Classify is a FRBR-based prototype designed to support the assignment of classification numbers and subject headings for books, DVDs, CDs, and other types of materials.
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The following applications are available:
A Web service that automates the manual selection of FAST Subjects based on autosuggest technology.
- FAST as Linked Data<
FAST as a Linked Data service to interact with the Semantic Web.
- FAST Converter
The FAST Converter is a Web interface for the conversion of LCSH headings to FAST headings.
importFAST allows you to import Library of Congress Personal or Corporate names into the FAST Authorities, with the immediate assignment of a FAST number. Topical heading and subdivision combinations can also be assigned.
A full feature search interface to the FAST database.