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

著者: Thomas Butler Hickey; OCLC. Office of Planning and Research.
出版商: Dublin, OH : OCLC, Office of Planning and Research, Research Dept., 1981.
丛书: Research Report - OCLC - Office of Planning and Research OCLC/OPR/RR, vol. 81/2
版本/格式:   打印图书 : 英语查看所有的版本和格式
数据库:WorldCat
提要:
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  再读一些...
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材料类型: 互联网资源
文档类型 图书, 互联网资源
所有的著者/提供者: Thomas Butler Hickey; OCLC. Office of Planning and Research.
OCLC号码: 7548871
注释: "Report Report Number: OCLC/PR/RR-81/2"
"1981 May 27"
描述: vi, 42 pages : illustrations ; 28 cm
丛书名: Research Report - OCLC - Office of Planning and Research OCLC/OPR/RR, vol. 81/2
其他题名: Development of a probabilistic author search and matching technique for retrieval and creation of bibliographic records
责任: Thomas B. Hickey.

摘要:

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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