Evaluation of advanced retrieval techniques in an experimental online catalog

Abstract

Research on the use and users of online catalogs conducted in the early 1980s found that subject searches were the most common form of online catalog search. At the same time, many of the problems experienced by online catalog users have been traced to difficulties with the subject access mechanisms of the online catalog. Numerous proposals have been made for methods intended to improve subject access to online catalog records. These commonly involve enhancing the catalog's bibliographic records with additional terms, or incorporating subject authority files or additional thesauri in the database. Another stream of research has concentrated on applying retrieval techniques derived from information retrieval (IR) research to replace the Boolean search methods of conventional online catalog systems. This study describes the results of retrieval tests using a variety of these search methods in the CHESHIRE experimental online catalog system.

New product development: An innovation diffusion perspective

“…Greater frequency and quality of information exchange can increase the innovativeness and quality of products designed, while lowering the costs of development (Larson, 1992). Such exchanges create learning opportunities that enable a firm to appropriate knowledge from partners.…”

Inteligencia Artificial y Documentación

“…al. [1995] han implementado un sistema formado por una red de este tipo con la ley de aprendizaje de retropropagación (backpropagation) junto con un sistema de aprendizaje simbólico, para tratar de solucionar los dos grandes problemas de los sistemas booleanos, la imprecisión y mala especificación de las preguntas, y la indización incompleta e inconsistente [Larson 1992]. …”

The Online Catalog: From Technical Services to Access Service

“…Cheshire, an experimental online catalog developed by Larson at the University of California, Berkeley, uses a classi cation clustering approach. For each Library of Congress Classi cation (LCC) number, the title and subject keywords of all documents assigned to it are used to increase the number of terms associated with each individual bibliographic record (Larson, 1989;Larson, 1991b;Larson, 1992a;Larson, 1992b). Micco (1991) proposes a term weighting scheme in which weights are based on the MARC tags the term is drawn from: the rst 6xx eld gets highest weight because it represents aboutness.…”