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
![What are the entities that matter, and how much should we say about them?](/content/dam/research/presentations/2019/111319-godby-NISO-What-Are-Entities-Matter.pptx.thumb.1280.1280.png)
What are the entities that matter, and how much should we say about them?
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](/content/dam/research/presentations/2019/smith-yoshimura-li-multilingualism-support-wikidata-ld4-2019.pptx.thumb.1280.1280.png)
Taking Advantage of Multilingualism Support in Wikidata
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