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Cohen, Jonathan D. – Journal of the American Society for Information Science, 1995
A statistical method of drawing index terms or "highlights" from text is presented that uses no stop list, stem or other language- and domain-specific components, allowing operation in any domain or language with minimal modification. Some experimental results are presented, showing operation in six different languages. (67 references)…
Descriptors: Abstracting, Abstracts, Automatic Indexing, Computer System Design
Peer reviewed Peer reviewed
Pinto, Maria; Lancaster, F. W. – Library Trends, 1999
Presents various levels of criteria for judging the quality of abstracts and abstracting. Requirements for abstracts to be read by humans are compared with requirements for those to be searched by computer. Concludes that the wide availability of complete text in electronic form does not reduce the value of abstracts for information retrieval.…
Descriptors: Abstracting, Abstracts, Bibliographic Databases, Electronic Text
Gilchrist, Alan, Ed. – 1997
This set of papers offers insights into some of the major developments in the field of classification and knowledge organization, and highlights many of the fundamental changes in views and theories which have taken place during the last 40 years. This document begins with a series of reminiscences from former delegates of the first International…
Descriptors: Abstracting, Access to Information, Cataloging, Classification
Peer reviewed Peer reviewed
Chen, Hsinchun; And Others – Journal of the American Society for Information Science, 1995
This research reports an algorithmic approach to the automatic generation of thesauri for electronic community systems. The techniques used include term filtering, automatic indexing, and cluster analysis. The Worm Community System, used by molecular biologists studying the nematode worm C. elegans, was used as the testbed for this research.…
Descriptors: Abstracting, Abstracts, Automatic Indexing, Cluster Analysis
Peer reviewed Peer reviewed
Molina, Maria Pinto – Journal of the American Society for Information Science, 1995
A model is proposed for the general abstracting process (using disciplines such as linguistics, logic, and psychology) that is based on a system of combined strategies with four stages: reading-understanding; selection; interpretation; synthesis. (Author/JKP)
Descriptors: Abstracting, Abstracts, Cognitive Processes, Comprehension