FAST (Faceted Application of Subject Terminology)

About FAST

FAST (Faceted Application of Subject Terminology) is derived from the Library of Congress Subject Headings (LCSH), one of the library domain’s most widely used subject terminology schemas. The development of FAST has been a collaboration of OCLC Research and the Library of Congress. Work on FAST began in late 1998.

FAST has been developed in large part to attempt to meet the perceived need for a general-use subject terminology scheme, which is:

  • simple to learn and apply,
  • faceted-navigation-friendly, and
  • modern in its design.

The broad purpose of adapting the LCSH with a simplified syntax to create FAST is to retain the very rich vocabulary of LCSH while making the schema easier to understand, control, apply, and use. The schema maintains upward compatibility with LCSH, and any valid set of LC subject headings can be converted to FAST headings.

After full development, FAST has evolved into an eight-facet vocabulary with a universe of approximately 1.7 million headings across all facets. The facets are designed to be used in tandem, but each may also be used independently. The rules of application are very simple.

Background

With a rapid growth of accessible information, there was a need for a simplified indexing schema, which could be assigned and used by non-professional cataloger or indexers.

The origin of FAST can be traced to observations by OCLC Research staff involved with the OCLC Cooperative Online Resource Catalog (CORC) project, which focused on the cataloging of web resources. CORC participants typically wanted to be able to adopt simple, low-cost, low-effort approaches to describing Web resources (e.g., using Dublin Core). In the course of the CORC project, it became clear that a significant barrier to minimal-effort resource description was the lack of an easy-to-learn and apply general subject vocabulary.

Additionally, work during the same time period by the Subcommittee on Metadata and Subject Analysis of the Association for Library Collections and Technical Services’ Subject Access Committee identified specific functional requirements of subject data in the metadata record (ALCTS 1999), and these requirements mapped well to the intended outcomes of what would become the FAST project.

Impact

A family of eight modular, complementary vocabularies designed to support faceted retrieval, FAST represents a well-designed, professionally stewarded controlled vocabulary set that carries a modest initial training burden and operational overhead comparable to keyword indexing. This combination of attributes, along with a design and implementation that make FAST well-suited for linked data applications, provide a viable and far superior alternative to key word indexing or other uncontrolled approaches.

FAST is used by the National Library of New Zealand and RMIT to enrich article metadata, by Databib to index descriptions of databases, and by a variety of libraries to provide subject indexing of description of digital resources.

Details

In developing FAST, The primary objectives were (1) compatibility with existing metadata, (2) ease of assignment, (3) retrieval effectiveness, (4) cost of maintenance, and (5) semantic interoperability. The development team determined that these objectives could best be satisfied by a fully enumerative faceted subject heading schema derived from the Library of Congress Subject Headings.

The individual terms in the FAST vocabulary are divided into eight distinct categories or facets: Personal names, Corporate names, Geographic names, Events, Titles, Time periods, Topics, and Form/Genre.  

As a fully enumerative system, all subject headings are established with authority records eliminating the need to synthesize headings along with the complex set of syntax rules. 

The FAST authority file contains over 1,700,000 authority records.

Lead

Diane Vizine-Goetz

Team Members

Rick Bennett

Eric Childress

Kerre Kammerer

Former Team Members

Edward T. O'Neill

Jeff Mixter

Lois Mai Chan (University of Kentucky)

Chris Stanton

Kay Clopton

Rebecca Dean