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Sparck Jones, K.; Van Rijsbergen, C. J. – Journal of Documentation, 1973
Substantial alterations to a system often have little or no effect on particular collections. This may be due to poor separation of relevant and non-relevant documents. The paper presents a procedure for characterizing this separation, which can show whether proposed modifications of the base system are likely to be useful. (8 references)…
Descriptors: Automatic Indexing, Classification, Cluster Analysis, Databases
Sparck Jones, Karen – Information Storage and Retrieval, 1973
Retrieval performance with automatic term classifications for three test collections has been variable. This paper attempts to discover why. The real difference between the collections is in the separation of relevant from non-relevant documents. The separation is so poor that classification cannot be expected to succeed. (14 references)…
Descriptors: Automatic Indexing, Classification, Cluster Analysis, Databases
Yu, C. T.; Salton, G. – 1975
Formal proofs are given of the effectiveness under well-defined conditions of the thesaurus method in information retrieval. It is shown, in particular, that when certain semantically related terms are added to the information queries originally submitted by the user population, a superior retrieval system is obtained in the sense that for every…
Descriptors: Automatic Indexing, Information Retrieval, Information Storage, Mathematical Models
Cornell Univ., Ithaca, NY. Dept. of Computer Science. – 1970
Part One, Automatic Content Analysis contains: "Content Analysis in Information Retrieval;""The 'Generality' Effect and the Retrieval Evaluation for Large Collections;""Automatic Indexing Using Bibliographic Citations" and "Automatic Resolution of Ambiguities from Natural Language Text." Part Two, Automatic…
Descriptors: Automatic Indexing, Automation, Classification, Content Analysis
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Steinacker, Ivo – Journal of the American Society for Information Science, 1974
An algorithm is proposed to solve the problem of sequential indexing which does not use any grammatical or semantic analysis, but follows the principle of emulating human judgement by evaluation of machine-recognizable attributes of structured word assemblies. (Author)
Descriptors: Algorithms, Automatic Indexing, Databases, Indexing
Vance, David – 1974
This paper describes the process of automatic extraction of implicit--global--data from explicit information by file inversion and threading. Each datum is the symbolic representation of a proposition, and as such has a number of movable parts corresponding to the ideal elements of the proposition represented; e.g., subject, predicate. A third…
Descriptors: Automatic Indexing, Classification, Databases, Information Retrieval
Peer reviewed Peer reviewed
Landgraf, Alan L.; And Others – Journal of Library Automation, 1973
An experiment was conducted to design a corporate author index to a large bibliographic file. The nature of corporate entries necessitates a different search key construction from that of personal names or titles. Derivation of a search key to select distinct corporate entry records is discussed. (7 references) (Author)
Descriptors: Automatic Indexing, Cataloging, Indexes, Indexing
Schneider, John H. – Drexel Library Quarterly, 1974
Discusses the role of certain types of classifications in a modern automated environment. (Author/PF)
Descriptors: Automatic Indexing, Automation, Classification, Computers
Kelly, J. R.; Popper, P. – Information Storage and Retrieval, 1971
Described is International Nickel's Technical Information System which involves cooperation between the London and New York offices. The problems of coordination, selection, vocabulary control, computer compatibility, communication and security are discussed. (4 references) (SJ)
Descriptors: Agency Cooperation, Automatic Indexing, Cooperative Programs, Costs
And Others; Prywes, Noah S. – Information Storage and Retrieval, 1974
Reports on a series of programs that have been developed to process data bases, consisting of textual items, and to index and arrange (classify) the data items in accordance with an automatically generated classification system. (Author)
Descriptors: Automatic Indexing, Automation, Classification, Computer Programs
Peer reviewed Peer reviewed
DeBardeleben, Marian Z.; Lunsford, Carol G. – Special Libraries, 1982
Recounts the development of a slide storage and retrieval system at the Philip Morris Research Center in Richmond, Virginia and describes the methods used to classify and access slides in the collection. A reference list and three appendices accompany the text. (JL)
Descriptors: Archives, Automatic Indexing, Classification, Indexing
Schipma, Peter B.; And Others – 1970
This paper presents a detailed analysis of the content and format of seven machine-readable bibliographic data bases: Chemical Abstracts Service Condensates, Chemical and Biological Activities, and Polymer Science and Technology, Biosciences Information Service's BA Previews including Biological Abstracts and BioResearch Index, Institute for…
Descriptors: Abstracting, Automatic Indexing, Biology, Chemistry
Air Force Systems Command, Wright-Patterson AFB, OH. Foreign Technology Div. – 1969
Questions of the automation of input, output and data processing on computers in systems of information services are covered in the discussion of peculiarities of applied computers and processed information, general characteristics of processing algorithms and problems of information input and output. This is followed by a discussion of the…
Descriptors: Abstracting, Algorithms, Automatic Indexing, Automation
Alberta Univ., Edmonton. Dept. of Computing Science. – 1972
Short abstracts of works in progress or completed in the Department of Computing Science at the University of Alberta are presented under five major headings. The five categories are: Storage and search techniques for document data bases, Automatic classification, Study of indexing and classification languages through computer manipulation of data…
Descriptors: Abstracts, Automatic Indexing, Classification, Computer Science
Peer reviewed Peer reviewed
Chun, Alan – Canadian Library Journal, 1987
Describes a microcomputer-assisted method of using the commercial dBase III software package for the management of a personal bibliographic storage and retrieval system. This system provides users with a systematic way of keeping, for rapid retrieval, references to papers or documents previously read. (Author/CLB)
Descriptors: Automatic Indexing, Computer Software, Database Management Systems, Databases
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