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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 in metadata enrichment, authorities & identities, linked data, subjects & classification, and data analysis.

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  • 2017
Using the Semantic Web to Improve Knowledge of Translations

Using the Semantic Web to Improve Knowledge of Translations

By Karen Smith-Yoshimura

International Conference on Dublin Core and Metadata Applications
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

BIBFRAME and OCLC Works: Defining Models and Discovering Evidence

By Carol Jean Godby and Diane Vizine-Goetz

ALA Annual Conference
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

FAST Update

By Eric Childress

ALA Annual Conference
Chicago, Illinois (USA)

In this presentation, Childress provides an update on FAST and WorldCat.

Topics: FAST

Challenges of Multilingualism

Challenges of Multilingualism

By Karen Smith-Yoshimura

Visualizing Digital Humanities workshop
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

Data Designed for Discovery

By Roy Tennant

International Association of University Libraries Conference
Bolzano, (Italy)

Tennant provides a research perspective on data designed for discovery and how linked data can solve current issues.

 

Topics: Linked Data