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

저자: Thomas Butler Hickey; OCLC. Office of Planning and Research.
출판사: Dublin, OH : OCLC, Office of Planning and Research, Research Dept., 1981.
시리즈: Research Report - OCLC - Office of Planning and Research OCLC/OPR/RR, vol. 81/2
판/형식:   인쇄본 : 영어모든 판과 형식 보기
데이터베이스:WorldCat
요약:
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  더 읽기…
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문서 유형 도서, 인터넷 자원
모든 저자 / 참여자: Thomas Butler Hickey; OCLC. Office of Planning and Research.
OCLC 번호: 7548871
메모: "Report Report Number: OCLC/PR/RR-81/2"
"1981 May 27"
설명: vi, 42 pages : illustrations ; 28 cm
일련 제목: Research Report - OCLC - Office of Planning and Research OCLC/OPR/RR, vol. 81/2
다른 제목 Development of a probabilistic author search and matching technique for retrieval and creation of bibliographic records
책임: Thomas B. Hickey.

초록:

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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