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Feasibility of a computer-generated subject validation file based on frequency of occurrence of assigned LC subject headings : phase II, nature and patterns of invalid headings
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Feasibility of a computer-generated subject validation file based on frequency of occurrence of assigned LC subject headings : phase II, nature and patterns of invalid headings

Autor: Lois Mai Chan; Diane Vizine-Goetz; OCLC. Office of Research.
Edição/Formato   Artigo : Documento   Arquivo de Computador : InglêsVer todas as edições e formatos
Base de Dados:WorldCat
Resumo:
The first phase of this project studied the feasibility of automatically generating a subject validation file with complete strings but few errors and obsolete elements from LC-assigned subject headings appearing in bibliographic records. It analyzed the distribution and density of subject headings by frequency of use and calculated the rate of errors and obsolete elements in subject headings that have been used at  Ler mais...
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Detalhes

Tipo de Material: Documento, Recurso Internet
Tipo de Documento: Artigo, Arquivo de Computador, Recurso Internet
Todos os Autores / Contribuintes: Lois Mai Chan; Diane Vizine-Goetz; OCLC. Office of Research.
Número OCLC: 54367569
Em: Annual review of OCLC research (Online
Notas: Title from title screen (viewed Feb. 6, 2004).
Detalhes: Mode of access: Internet.
Responsabilidade: Lois Mai Chan and Diane Vizine-Goetz.

Resumo:

The first phase of this project studied the feasibility of automatically generating a subject validation file with complete strings but few errors and obsolete elements from LC-assigned subject headings appearing in bibliographic records. It analyzed the distribution and density of subject headings by frequency of use and calculated the rate of errors and obsolete elements in subject headings that have been used at least twice in the LCMARC database. The second phase analyzes the nature and patterns of incorrect and obsolete subject headings. Although errors in subject headings assigned by LC occur at a relatively low rate, an awareness of the nature of errors and the rate of obsolete headings will help to avoid or minimize such errors in the future. Understanding the recurring patterns of errors can also help to improve mechanisms for identifying and correcting errors and for updating obsolete headings automatically.

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