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Research report on development of a probabilistic author search and matching technique for retrieval and creation of bibliographic records

Autor: Thomas Butler Hickey; OCLC. Office of Planning and Research.
Editora: Dublin, OH : OCLC, Office of Planning and Research, Research Dept., 1981.
Séries: Research Report - OCLC - Office of Planning and Research OCLC/OPR/RR, vol. 81/2
Edição/Formato   Imprimir livro : InglêsVer todas as edições e formatos
Base de Dados:WorldCat
Resumo:
This study undertook an in-depth analysis of large files of personal author names to permit the development of techniques and algorithms to automatically: (1) correct and/or flag typographical errors in names, (2) identify names in a data base that are similar to a name entered by a user during a search, and (3) measure similarities among names. The study found that personal names have very different  Ler mais...
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Detalhes

Tipo de Material: Recurso Internet
Tipo de Documento Livro, Recursos de internet
Todos os Autores / Contribuintes: Thomas Butler Hickey; OCLC. Office of Planning and Research.
Número OCLC: 7548871
Notas: "Report Report Number: OCLC/PR/RR-81/2"
"1981 May 27"
Descrição: vi, 42 pages : illustrations ; 28 cm
Título da Série: Research Report - OCLC - Office of Planning and Research OCLC/OPR/RR, vol. 81/2
Outros Títulos: Development of a probabilistic author search and matching technique for retrieval and creation of bibliographic records
Responsabilidade: Thomas B. Hickey.

Resumo:

This study undertook an in-depth analysis of large files of personal author names to permit the development of techniques and algorithms to automatically: (1) correct and/or flag typographical errors in names, (2) identify names in a data base that are similar to a name entered by a user during a search, and (3) measure similarities among names. The study found that personal names have very different characteristics than English language words.This project demonstrated that useful displays for human verification of author names can be built, although at some computational expense. Automatic correction of errors, which would require even greater computation, was not demonstrated by this project. However, automatic correction seems feasible with extensions of the techniques in this project for automatic detection.

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