Skip to page content
Research : Activities : Classify

Classify

Classify is a FRBR-based prototype designed to support the assignment of classification numbers and subject headings for books, DVDs, CDs, and other types of materials.

Overview

This project applies principles of the FRBR model to aggregate bibliographic information above the manifestation level. Bibliographic records are grouped using the OCLC FRBR Work-Set algorithm to form a work-level summary of the class numbers and subject headings assigned to a work. You can retrieve a summary by ISBN, ISSN, UPC, OCLC number, author/title, or subject heading.

The Classify database is accessible through a user interface and as a machine-to-machine service. The database provides access to more than 36 million WorldCat records that contain Dewey Decimal Classification (DDC) numbers, Library of Congress Classification (LCC) numbers, or National Library of Medicine (NLM) Classification numbers. Classify records also include subject headings from the Faceted Application of Subject Terminology (FAST) scheme.

Examples

Click on the following examples or visit the prototype to view classification information and subject headings for a work.

link to The omnivore's dilema link to Persepolis link to Akahige  link to Girl with Pearl Eering in Spanish link to On writing by Stephen King

More Information

Click here for technical information about the Classify Web Service.

"Classify: A FRBR-based Research Prototype for Applying Classification Numbers." NextSpace, 14 (January): 14-15. Available online at: http://www.oclc.org/nextspace/014/research.htm.

 

Team Members




Most recent updates: page content 12 February 2010, prototype 15 February 10.

ResearchWorks icon (RW)ResearchWorks

This activity is part of ResearchWorks. Use of our prototypes is subject to OCLC's terms and conditions. By continuing past this point, you agree to abide by these terms.

Try the online demo

Visit the prototype - or click on the examples in the body of this page - to view classification information and subject headings for a work.

Project lead: Diane Vizine-Goetz