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Jones, K. Sparck; Jackson, D. M. – 1969
This report summarizes the work carried out on the automatic construction of keyword classifications and their use in information retrieval. It discusses the possible characteristics of such classifications, and potential ways of using them; and describes the various approaches to classification that were considered in terms of an overall frame of…
Descriptors: Automatic Indexing, Classification, Indexing, Information Retrieval

Shepherd, Michael A. – Journal of Documentation, 1981
Reports the results of experiments using colon classification for the analysis, representation, and retrieval of primary information from the full text of documents. Recall, precision, and search length measures indicate colon classification did not perform significantly better than Boolean or simple word occurrence systems. Thirteen references…
Descriptors: Classification, Databases, Indexing, 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

Robertson, S. E.; Harding, P. – Journal of Documentation, 1984
Presents adaptation of a probabilistic theoretical model previously used in relevance feedback for use in automatic indexing of documents (in the sense of imitating) human indexers. Methods for model application are proposed, independence assumptions used in the model are interpreted, and the probability of a dependence model is discussed.…
Descriptors: Automatic Indexing, Classification, Information Retrieval, Mathematical Models

Jones, K. Sparck; Barber, E. O. – Journal of the American Society for Information Science, 1971
The substitution information contained in automatically obtained keyword classification is most effectively exploited when: (1) strong similarity connectives only are utilized, (2) grouping is confined to non-frequent terms, (3) term groups are used to provide additional and not alternative descriptive items and (4) descriptor collection frequency…
Descriptors: Automatic Indexing, Automation, Classification, Information Retrieval
Albrechtsen, Hanne, Ed.; Mai, Jens-Erik, Ed. – 2001
This volume is a compilation of the papers presented at the 10th ASIS (American Society for Information Science) workshop on classification research. Major themes include the social and cultural informatics of classification and coding systems, subject access and indexing theory, genre analysis and the agency of documents in the ordering of…
Descriptors: Access to Information, Classification, Indexing, Information Management

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
Ruiz, Miguel E.; Stinivasan, Padmini – Proceedings of the ASIST Annual Meeting, 2003
Explores the use of linear models and a combination of neural networks and linear classifiers to create a hybrid hierarchical mixture of experts (HME) model. Results confirm that using the hierarchical structure of the classification vocabulary improves categorization performance. (AEF)
Descriptors: Classification, Document Delivery, Indexing, Information Networks
Simon, Hans-Reiner – 1986
Designed to provide students of information science with an introduction to British librarian Samuel Clement Bradford's 1934 findings about the scattering of information, this reader on Bradford's Law begins by discussing its use in calculating search procedures in printed bibliographies as well as in databases. The following additional materials…
Descriptors: Abstracting, Bibliographic Databases, Bibliographies, Bibliometrics
Atherton, Pauline; And Others – 1968
A single issue of Nuclear Science Abstracts, containing about 2,300 abstracts, was indexed by Universal Decimal Classification (UDC) using the Special Subject Edition of UDC for Nuclear Science and Technology. The descriptive cataloging and UDC-indexing records formed a computer-stored data base. A systematic random sample of 500 additional…
Descriptors: Cataloging, Classification, Indexing, Information Retrieval

Xu, Hong; Lancaster, F. W. – Library Resources & Technical Services, 1998
An analysis of 205 records in the OCLC Online Union Catalog (OLUC) found considerable duplication among subject access points provided by title, subject heading, and classification number fields. On average, only 4.12 unique access points were found per record. The results suggest that online catalogs might outperform card catalogs more in…
Descriptors: Classification, Comparative Analysis, Indexing, Online Catalogs
Digger, J. – 1975
A study was conducted to determine the most effective way to organize the data that are being accumulated by the European Documentation and Information System for Education (EUDISED). The study considered types of information services and search facilities which might be used to access the EUDISED data base. Indexing systems were examined and…
Descriptors: Classification, Databases, Indexing, Information Retrieval
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
Lancaster, F. W. – 1972
This book deals with properties of vocabularies for indexing and searching document collections; the construction, organization, display, and maintenance of these vocabularies; and the vocabulary as a factor affecting the performance of retrieval systems. Most of the text is concerned with vocabularies for post-coordinate retrieval systems, with…
Descriptors: Classification, Codification, Computers, Indexes
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