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Ariadne, an innovative approach to scalable semantic embedding (video)

Ariadne, an innovative approach to scalable semantic embedding (video)

By Shenghui Wang, Rob Koopman

The OCLC Research project Ariadne Semantic Embedding is a demonstration of a practical solution to support libraries in this field. Watch this webinar to see the potential of this scalable semantic embedding method for other applications such as entity disambiguation, citation recommendation, clustering and collection exploration.

Topics: Data Science, Semantic Embedding, Works in Progress

Deep-interactions with Open Collections (video)

OCLC Research Mini-symposium Part 3 - Deep-interactions with Open Collections (video)

By Rob Koopman, Shenghui Wang, Thom Castermans, Annapaola Ginammi

As the volume of digitized heritage collections continues to grow, memory institutions are challenged to making this open content discoverable and usable across repositories. At this mini-symposium in Leiden, guests learn about research & development work done in the area of digital image interoperability (IIIF), corpus-building and deep interactions with open collections by OCLC, and latest developments at Europeana and the Global Digitised Dataset Network

Topics: Open Access, Semantic Embedding

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