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Abstract

The problem addressed by this two-part study is to evaluate the quality of Chinese records in the OCLC database and to determine the potential of a set of production rules for a rule-based data validation system lo support quality control of the Chinese records. The second part of the study emphasizes establishing production rules for such a system. Based on the results of error analysis, a set of production rules were developed and tested, focusing on improving completeness, consistency, and correctness of a record. The rules covered 11 of the total 19 types of errors. At least 65% , of the errors occurring in the investigated sample records could be detected automatically by applying the production rules.

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Abstract

The study consisted of two interrelated parts: (1) a quality analysis of the Chinese-language records in the OCLC database, with emphasis on identifying errors in member-contributed records; and (2) the development of a rule-based data validation system for quality control of Chinese-language records in the OCLC database, with emphasis on establishing a set of production rules for such a system. One thousand three hundred six member-contributed Chinese records were randomly selected from the OCLC database and were examined by the researcher. Commonly occurring errors were identified and were categorized into three classes: format errors, content deficiency and inconsistency errors, and typographical errors of editing and inputting. The relationship between the number of times a record had been enhanced and errors still occurring in it was also studied.