Error Detection in Computerized Information Retrieval Data Bases,
CENTER FOR NAVAL ANALYSES ARLINGTON VA
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The introduction of on-line interactive literature searching systems in recent years has made it possible for information scientists to conduct bibliometric studies which might have been difficult or impractical to do by manual methods. The unconventional uses of on-line information retrieval systems are becoming more common as we learn how to search using non-subject information fields. Authors name, organizational affiliation, journals name, year of publication, etc., can now be searched for easily. However, sometimes there are problems. It would seem worthwhile for those responsible for management of these mechanized information storage and retrieval data bases to attempt to use all economically feasible error-detecting and correcting schemes to reduce the error rate as much as practicable. Several suggestions for detecting errors are examined.
- Information Science
- Computer Hardware