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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, data science research, engagement with metadata communities, publications and presentations, and the creation of illustrative experimental applications.

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  • 2019
What are the entities that matter, and how much should we say about them?

What are the entities that matter, and how much should we say about them?

By Jean Godby

NISO Webinar: Implementing Library Linked Data
Virtual

This presentation discusses the work of catalogers who participated in OCLC's Project Passage in 2018. It develops the theme of identification of "the entities that matter" and concludes with a brief update on OCLC's post-Passage activities involving resource description in Wikibase.

 

Topics: Linked Data, Wikimedia

Taking Advantage of Multilingualism Support in Wikidata

Taking Advantage of Multilingualism Support in Wikidata

By Karen Smith-Yoshimura and Xiaioli Li

LD4 Conference on Linked Data in Libraries
Boston, MA (USA)

View highlights of some key lessons from the OCLC Research Linked Data Wikibase Prototype (“Project Passage”) regarding Wikidata’s multilingualism support.

Topics: Wikimedia, Linked Data