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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 in metadata enrichment, authorities & identities, linked data, subjects & classification, and data analysis.

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  • Semantic Embedding

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  • 2018
Subject Prediction Using Semantic Embedding

Subject Prediction Using Semantic Embedding

By Rob Koopman and Shenghui Wang

DANS colloquium 'Revisiting the NARCIS Classification’
The Hague (Netherlands)

Koopman and Wang describe semantic embedding and their work on the Ariadne random projection algorithm that attempts to predict the right mix of subject headings.

Topics: Semantic Embedding