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.
Presentations
Subject Prediction Using Semantic Embedding
DANS colloquium 'Revisiting the NARCIS Classification’
The Hague (Netherlands)
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