Descriptor
Automation | 4 |
Information Retrieval | 4 |
Online Systems | 2 |
Subject Index Terms | 2 |
Algorithms | 1 |
Artificial Intelligence | 1 |
Cataloging | 1 |
Classification | 1 |
Cluster Analysis | 1 |
Cluster Grouping | 1 |
Computational Linguistics | 1 |
More ▼ |
Source
Information Processing and… | 4 |
Publication Type
Journal Articles | 3 |
Reports - Research | 3 |
Information Analyses | 1 |
Education Level
Audience
Location
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating

Vernimb, Carlo – Information Processing and Management, 1977
A procedure for adjusting queries to retrieve more documents for a user by automatically selecting and broadening the descriptors from relevant documents is described. Although more computing is required, recall and precision are superior to traditional searching. (KP)
Descriptors: Automation, Information Retrieval, Online Systems, Relevance (Information Retrieval)

Crouch, C. J. – Information Processing and Management, 1990
Examines early and current approaches to automatic thesaurus construction and describes an approach to automatic generation of global thesauri based on the term discrimination value model and on an appropriate clustering algorithm. Preliminary results of implementation of the method are reported. (46 references) (Author/MES)
Descriptors: Automation, Information Retrieval, Information Systems, Models

Rau, Lisa F.; And Others – Information Processing and Management, 1989
Describes SCISOR (System for Conceptual Information Summarization, Organization and Retrieval), a prototype intelligent information retrieval system that extracts useful information from large bodies of text. It overcomes limitations of linguistic coverage by applying a text processing strategy that is tolerant of unknown words and gaps in…
Descriptors: Algorithms, Artificial Intelligence, Automation, Computational Linguistics

Garland, Kathleen – Information Processing and Management, 1983
Describes method of automatic document classification in which documents classed as QA by Library of Congress classification system were clustered at six thresholds by keyword using single link technique. Automatically generated clusters were compared to Library of Congress subclasses, and partial classified hierarchy was formed. Twelve references…
Descriptors: Automation, Cataloging, Classification, Cluster Analysis