• Open Daily: 10am - 10pm
    Alley-side Pickup: 10am - 7pm

    3038 Hennepin Ave Minneapolis, MN
    612-822-4611

Open Daily: 10am - 10pm | Alley-side Pickup: 10am - 7pm
3038 Hennepin Ave Minneapolis, MN
612-822-4611
Using Subject Headings for Online Retrieval: Theory, Practice and Potential

Using Subject Headings for Online Retrieval: Theory, Practice and Potential

Hardcover

Series: Library and Information Science, Book 94

General Reference

ISBN10: 0122215702
ISBN13: 9780122215704
Publisher: Emerald Pub Ltd
Published: Apr 29 1994
Pages: 365
Weight: 1.76
Height: 1.16 Width: 6.30 Depth: 9.34
Language: English
Using Subject Headings for Online Retrieval is an indispensable tool for online system designers who are grappling with developing new systems or refining existing ones. This ready reference describes subject analysis and subject searching in online catalogs, including the limitations of retrieval, and demonstrates how such limitations can be overcome through system design and programming. The practical reference also describes the Library of Congress Subject Headings (LCSH) system and system characteristics; it shows how information is stored in machine-readable files; and it offers examples of and recommendations for successful retrieval methods. Tables are included to support these recommendations, and diagrams, graphs, and bar charts are used to provide results of data analysis. Practitioners in institutions using or considering the installation of an online catalog will continuously consult this book to generate specifications. The book also appeals to researchers in library systems, information retrieval, and user behavior because it details the results of an extensive, empirical study of the subject terms entered into online systems by end users. It also addresses the needs of advanced students in library schools and instructors in library automation, information retrieval, cataloging, indexing, and user behavior. It overviews the LCSH system and system characteristics. It describes how information is stored in machine-readable files. It offers examples of and recommendations for successful retrieval methods. Empirical evidence supports recommendations.

Also in

General Reference