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Wisniewski, Janusz L. – Information Processing and Management, 1986
Discussion of a new method of index term dictionary compression in an inverted-file-oriented database highlights a technique of word coding, which generates short fixed-length codes obtained from the index terms themselves by analysis of monogram and bigram statistical distributions. Substantial savings in communication channel utilization are…
Descriptors: Algorithms, Database Management Systems, Databases, Information Retrieval
Atkinson, Steven D., Comp.; Knee, Michael, Comp. – 1986
The University Libraries Computer Search Service (State University of New York at Albany, SUNYA) provides access to databases from many vendors including BRS, Dialog, Wilsonline, CA Search, and Westlaw. Members of the Computer Search Service, Collection Development, and Reference Service staffs select vendor services and new databases for their…
Descriptors: Academic Libraries, Database Producers, Databases, Higher Education
Trubkin, Loene – Database, 1979
Describes the automatic indexing project undertaken in 1978 to convert by means of a "bridge vocabulary" the terms in the ABI/INFORM database to index terms of a controlled vocabulary. Components of the bridge vocabulary are explained, and examples demonstrating the process of conversion are provided. (JD)
Descriptors: Automatic Indexing, Databases, Online Systems, Subject Index Terms
McLaughlin, Pamela W. – 1987
Designed for use in the reading room of the ERIC Clearinghouse on Information Resources, this set of three self-instructional guides provides step-by-step instructions for locating information in the ERIC system. The first instruction sheet explains how to use the Thesaurus of ERIC Descriptors to identify appropriate subject headings, or…
Descriptors: Databases, Guidelines, Indexes, Search Strategies
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

Sievert, MaryEllen; Verbeck, Alison – Online Review, 1987
A comparison of ERIC and LISA (Library and Information Science Abstracts) indexing of the three journals--Online, Online Review, and Database--revealed some differences but more similarities in number of terms per article and concepts per article. A vocabulary which distinguished the field of online searching did emerge. (Author/EM)
Descriptors: Comparative Analysis, Databases, Indexing, Online Searching
Barnett, Lynn – 1986
This brief review of the Educational Resources Information Center (ERIC) system is intended to make users more aware of (1) the system as a whole, (2) the process of indexing educational literature for the database, and (3) the role of the Thesaurus of ERIC Descriptors in the overall information dissemination process. An overview of the ERIC…
Descriptors: Databases, Indexing, Information Retrieval, Search Strategies

Field, B. J. – Journal of Documentation, 1974
The development of the INSPEC vocabulary system which comprises a unified indexing and classification scheme is described together with the reasons for its adoption. (Author)
Descriptors: Classification, Databases, Documentation, Indexing

Byrne, Jerry R. – Journal of the American Society for Information Science, 1975
Investigated the relative merits of searching on titles, subject headings, abstracts, free-language terms, and combinations of these elements. The combination of titles and abstracts came the closest to 100 percent retrieval. (Author/PF)
Descriptors: Abstracts, Databases, Indexing, Information Retrieval
O'Neill, Edward T.; Aluri, Rao – 1980
The error-correcting algorithm described was constructed to examine subject headings in online catalog records for common errors such as omission, addition, substitution, and transposition errors, and to make needed changes. Essentially, the algorithm searches the authority file for a record whose primary key exactly matches the test key. If an…
Descriptors: Algorithms, Cataloging, Databases, Information Retrieval

Niehoff, R. T. – Journal of the American Society for Information Science, 1976
Explores the potential for a fully developed energy vocabulary conversion guide. Reports on the analysis and integration of 11 existing vocabularies. (Author/PF)
Descriptors: Databases, Energy, Information Retrieval, Online Systems
And Others; Kirtland, Monika – Database, 1980
Discusses three approaches to thesaurus and indexing/retrieval language maintenance for combined databases: reindexing, merging, and initial standardization. Two thesauri for a combined database are evaluated in terms of their compatibility, and indexing practices are compared. Tables and figures help illustrate aspects of the comparison. (SW)
Descriptors: Databases, Indexing, Information Retrieval, Subject Index Terms
Conger, Lucinda D. – Database, 1978
Explains the codes used in the Congressional Information Service's (CIS) database, presents entry formats for proposed legislation, and provides tips for searching dates and bill numbers. Included are a committee code master list, document type codes, legislative calendar codes (1970-80), and a list of contents-characteristics terms. (JD)
Descriptors: Databases, Federal Legislation, Guides, Illustrations

Lu, Xin – Information Processing and Management, 1990
Describes the development of a structural model of document retrieval based on lexical-semantic relationships between index terms. An algorithm that uses tree-to-tree distance to measure structural closeness between a document and a query statement is explained, and the proposed model is compared to a vector retrieval model. (18 references) (LRW)
Descriptors: Algorithms, Databases, Distance, Documentation
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