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
Breaking Out of the Walled Garden: Lessons Learned in Moving Library Linked Data from Research to Production
St. Paul, Minnesota (USA)
In this presentation, Godby shares OCLC's research and participation in standards initiatives whose goal is to pave the way for the adoption of the linked data paradigm as a next-generation solution for the description of resources managed by libraries.
Topics: Linked Data
Using the Semantic Web to Improve Knowledge of Translations
Washington, DC (USA)
Smith-Yoshimura describes how Worldcat contains many rich cataloguing records for translations and how the semantic web can be used to improve associations and present information in the preferred language of the user.
Topics: Linked Data
BIBFRAME and OCLC Works: Defining Models and Discovering Evidence
Chicago, Illinois (USA)
Find out how OCLC researchers are acting on a request from the Library of Congress to align OCLC Works with BIBFRAME works within the larger context of two Program for Cooperative Cataloging Task Groups.
Topics: Linked Data
FAST Update
Chicago, Illinois (USA)
In this presentation, Childress provides an update on FAST and WorldCat.
Topics: FAST
Challenges of Multilingualism
Lorentz Center, Leiden, (The Netherlands)
Learn from Smith-Yoshimura about challenges of translations in WorldCat, including different writing systems, different transliterations, the pitfalls of metadata, as well as opportunities of linked data.
Topics: Linked Data
Data Designed for Discovery
Bolzano, (Italy)
Tennant provides a research perspective on data designed for discovery and how linked data can solve current issues.
Topics: Linked Data