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Abstract

Reports the results of research designed to explore the feasibility of automatically deriving name access points from machine readable title pages of English language monographs. Results show that approximately 88% of the access points selected by the Library of Congress or the National Library of Medicine could be automatically derived from title page data. These results have implications for the design of bibliographic standards and on-line catalogues.

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Abstract

Reports results of a project to explore ways of reconfiguring AACR2 for use in an automated environment. A subset of AACR2 title proper rules for books was chosen for analysis. A functional classification of the rule subset was developed, based on the 4 facets: Source, Choice, Form, and Definition. The rules were also classified according to whether they were core or peripheral. A prototype electronic interface was developed for searching and displaying the classified rules. The greatest problem in the rule reconfiguration stemmed from the structural problems of AACR2: rule groupings combining multiple subfacets under a single rule; rule redundancy; and rule scatter, between chapters, and between sections of chapters and appendices