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Hawkins, Donald T.; Teitelbaum, Henry H. – Online, 1978
Broad subject headings which have been assigned to each of the 86 data bases available or announced on the five major on-line search systems--Lockheed, SDC, BRS, NIM, and New York Times Information Bank--are arranged alphabetically followed by the name(s) of the appropriate data base(s). (JPF)
Descriptors: Databases, Indexes, Information Retrieval, Online Systems
Bates, Marcia J. – Online, 1988
Explains seven types of subject descriptions commonly used in databases--hierarchical classification, category codes, subject headings, descriptors, faceted classification, post-controlled vocabulary, and natural language--and describes specific search techniques for taking advantage of the strengths of particular types of vocabularies. An overall…
Descriptors: Classification, Databases, Indexing, Online Searching
Knapp, Sara D. – Online, 1984
Describes basic strategy for cocitation searching, i.e., searching for any document citing at least two other specified documents, usually on same topic. Search terms, using combinations for retrieving cocited papers, boundary spanning, retrieving review articles, adding new cited sources to modify strategy, and cited sources/free-text terms are…
Descriptors: Citations (References), Databases, Information Retrieval, Online Systems
Knickerbocker, Wendy; Fernald, Anne Conway – Online, 1982
Introduces HARFAX Industry Data Sources, a bibliographic database which provides access to international sources of statistics on 60 key industries. Criteria for inclusion of material in the database, indexing policy, and uses of the database are discussed. Sample searches are illustrated and exhibits containing facts on the file are attached.…
Descriptors: Business, Databases, Indexing, Industry
Schiffmann, Genevieve N. – Online, 1985
Describes storing of "hedges"--lists of terms on specific subjects--for use in responding to repeated search requests which cannot be retrieved via existing controlled vocabulary. Use of hedges at National Library of Medicine and National Institutes of Health Library, frequently used examples, and Excerpta Medica hedges are highlighted.…
Descriptors: Databases, Information Services, Medical Libraries, Online Searching
Shorthill, Rachel R. – Online, 1985
Four databases--PsycINFO, ERIC, Health Planning and Administration, Public Affairs Information Service--were examined to determine percentage of business journals indexed and degree of business terminology included in controlled vocabulary. Sample searches were compared to same search in Management Contents and ABI/INFORM. A list of business…
Descriptors: Business, Comparative Analysis, Databases, Information Retrieval
Wagers, Robert – Online, 1983
To assess value of abstracts in online information retrieval, this study attempts to match free-text search phrases to index terms and provides classification of documents indicating form of retrieval to be expected by searching three databases--Energyline; Management Contents; and America, History and Life. Results of a sample search are…
Descriptors: Abstracts, Databases, Indexing, Information Retrieval
Allen, Maryellen Mott – Online, 2002
Considers complaints about the usability in the human-computer interaction aspect of information retrieval and discusses information visualization, the Online Library of Information Visualization Environments, hyperbolic information structure, subject searching, real-world applications, relational databases and hyperbolic trees, and the future of…
Descriptors: Databases, Futures (of Society), Information Retrieval, Man Machine Systems
Dadlez, Eva M. – Online, 1984
This article illustrates similarities between two different types of full-text databases--Superindex, Harvard Business Review/Online--and uses them as arena to demonstrate search and display applications of full-text. The selection of logical operators, full-text search strategies, and keywords and Bibliographic Retrieval Service's Occurrence…
Descriptors: Databases, Indexes, Information Retrieval, Online Systems
And Others; Niehoff, Robert – Online, 1979
Discusses the Vocabulary Switching System (VSS), an experimental, automated switching system, which specifically addresses the problems of heterogeneous database vocabularies and indexes and the difficulty these pose for users who wish to combine more than one database in a single online search. (CWM)
Descriptors: Automatic Indexing, Computer Science, Databases, Information Retrieval
Snow, Bonnie; Ifshin, Steven L. – Online, 1984
Online seaches of sample topics in the area of forensic medicine were conducted in the following life science databases: Biosis Previews, Excerpta Medica, Medline, Scisearch, and Chemical Abstracts Search. Search outputs analyzed according to criteria of recall, uniqueness, overlap, and utility reveal the need for a cross-database approach to…
Descriptors: Comparative Analysis, Databases, Graphs, Information Retrieval
Dewey, Patrick R.; Garber, Marvin – Online, 1983
Discusses use of microcomputer at Chicago Public Library to generate a "subject guide" wall chart of 549 frequently requested subjects with corresponding Library of Congress and Dewey classification numbers. Background of the project, computer software used, field testing, cost, and errors are noted. A copy of the chart is appended. (EJS)
Descriptors: Cataloging, Charts, Computer Programs, Databases
Atkinson, Steven D.; Dolan, Donna R. – Online, 1983
Suggest strategies for online searching of user requests for research studies on five major databases--BIOSIS, ERIC, MEDLINE, PsycINFO, and the National Clearinghouse for Mental Health (NCMH). Special research limitations, locating criticism or support, proposal for an ideal database, and a study of controlled terms across databases are included.…
Descriptors: College Libraries, Databases, Higher Education, Information Needs
Pemberton, Jeffery K. – Online, 1987
The vice president of a computerized information center discusses her career history, the development of information services and the database industry, current information technologies and the role of artificial intelligence, characteristics of indexers and abstractors employed, the kind of training needed by abstractors and indexers, and…
Descriptors: Abstracting, Artificial Intelligence, Career Development, Computer Networks