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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

Artandi, Susan – Journal of the American Society for Information Science, 1976
The implications of some major linguistic and semiotic concepts for the machine manipulation of natural language text are examined. It is proposed that the study of meaning should contribute to the development of sophisticated algorithms for machine indexing. (Author)
Descriptors: Algorithms, Automatic Indexing, Computational Linguistics, Indexing

Harter, Stephen P. – Journal of the American Society for Information Science, 1975
A probabilistic model of keyword indexing is outlined, and some of the consequences of the model are examined. An algorithm defining a measure of indexability is developed--a measure intended to reflect the relative significance of words in documents. (Author)
Descriptors: Algorithms, Automatic Indexing, Indexing, Mathematical Models

Craven, Timothy C. – Journal of the American Society for Information Science, 1982
Describes a system for the automatic coding of most descriptive titles which generates Nested Phrase Indexing System (NEPHIS) input strings of sufficient quality for permuted index production. A series of examples and an 11-item reference list accompany the text. (JL)
Descriptors: Algorithms, Automatic Indexing, Permuted Indexes
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
Hoyle, W. G. – Information Storage and Retrieval, 1973
A system of automatic indexing based on Baye's theorem is described briefly. (18 references) (Author)
Descriptors: Algorithms, Automatic Indexing, Bayesian Statistics, Classification
Yu, Clement T. – Information Storage and Retrieval, 1974
Heuristic methods for the construction of term classes are presented and experimental results are obtained to illustrate the usefulness of the method. (Author/PF)
Descriptors: Algorithms, Automatic Indexing, Classification, Cluster Grouping
Bichteler, Julie; Parsons, Ronald G. – Information Storage and Retrieval, 1974
An automatic classification technique using patterns formed by citations in document bibliographies was found to give 62 percent precision and 45 percent recall in a sample file of physics documents. (PF)
Descriptors: Algorithms, Automatic Indexing, Bibliographies, Citations (References)

Craven, Timothy C. – Journal of Documentation, 1987
Describes a microcomputer-based string index format generated from concept networks using multiple search terms. Link weighting is highlighted as a method to decide which term appears first so the entry reflects the classification implied by the search specification. The computer software used for this system is briefly described. (Author/LRW)
Descriptors: Algorithms, Automatic Indexing, Classification, Computer Software

El-Hamdouchi, Abdelmoula; Willett, Peter – Information Processing and Management, 1988
Describes an algorithm for the calculation of term discrimination values that may be used when the interdocument similarity measure used is the cosine coefficient and when the document representations have been weighted using one particular term weighting scheme. (7 references) (Author/CLB)
Descriptors: Algorithms, Automatic Indexing, Computational Linguistics, Discriminant Analysis

Craven, Timothy C. – Journal of the American Society for Information Science, 1980
Proposes that error rates in indexing using string index languages such as NEPHIS might be reduced at relatively low cost by having the indexer enter strings via a microcomputer system which could provide simple validation and feedback in the form of graphic displays of concept links. (Author/FM)
Descriptors: Algorithms, Automatic Indexing, Computer Graphics, Microcomputers

Bell, Colin; Jones, Kevin P. – Journal of the American Society for Information Science, 1979
Surveys the current state of minicomputer-operated information systems capable of incorporating linguistic features, focusing on the Minicomputer Operated Retrieval (Partially Heuristic) System. Consideration is given to the automation of the indexing process and to available search strategies. (FM)
Descriptors: Algorithms, Automatic Indexing, Computational Linguistics, Computers

Humphrey, Susanne M. – Information Processing and Management, 1989
Describes a prototype system for interactive knowledge-based indexing of the medical literature. Topics covered include current indexing practice; knowledge-based systems using frames; various types of assistance provided by the prototype system; and current research activities and plans for the development of the system. (17 references) (CLB)
Descriptors: Algorithms, Automatic Indexing, Expert Systems, Information Retrieval

Moffat, Alistair; Bell, Timothy A. H. – Journal of the American Society for Information Science, 1995
Discussion of index construction for large text collections highlights a new indexing algorithm designed to create large compressed inverted indexes "in situ." Topics include a computational model, inversion, index compression, merging, experimental test results, effect on retrieval performance, memory restrictions, and dynamic…
Descriptors: Algorithms, Automatic Indexing, Data Conversion, Information Retrieval

Kar, Gautam; White, Lee J. – Information Processing and Management, 1978
Investigates the feasibility of using a distance measure for automatic sequential document classification. This property of the distance measure is used to design a sequential classification algorithm which classifies key words and analyzes them separately in order to assign primary and secondary classes to a document. (VT)
Descriptors: Algorithms, Automatic Indexing, Classification, Information Processing