Publication Date
In 2025 | 0 |
Since 2024 | 0 |
Since 2021 (last 5 years) | 0 |
Since 2016 (last 10 years) | 4 |
Since 2006 (last 20 years) | 5 |
Descriptor
Classification | 40 |
Documentation | 40 |
Information Retrieval | 40 |
Information Systems | 15 |
Indexing | 11 |
Information Storage | 10 |
Automation | 9 |
Information Science | 9 |
Bibliographies | 8 |
Subject Index Terms | 7 |
Indexes | 6 |
More ▼ |
Source
Author
ATHERTON, PAULINE | 2 |
FREEMAN, ROBERT R. | 2 |
Thomas, James | 2 |
Abel, Marie-Helene | 1 |
Agosti, Maristella | 1 |
Allan, James | 1 |
Aoe, Jun-ichi | 1 |
Atlam, El-Sayed | 1 |
Barreau, Deborah K. | 1 |
Barrer, Lester A. | 1 |
Barry, Catherine | 1 |
More ▼ |
Publication Type
Journal Articles | 18 |
Reports - Descriptive | 9 |
Reports - Research | 6 |
Opinion Papers | 5 |
Information Analyses | 4 |
Reports - Evaluative | 2 |
Books | 1 |
Collected Works - General | 1 |
Dissertations/Theses -… | 1 |
Education Level
Higher Education | 1 |
Postsecondary Education | 1 |
Audience
Researchers | 1 |
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Hider, Philip – Education for Information, 2018
The intellectual origins of information organization (IO) as a field of study are examined by tracing the use of the terms, "information organization", "knowledge organization", "bibliographic control", and their variants, and by surveying the educational texts dealing with the various component activities of IO,…
Descriptors: Information Management, Library Science, Information Science, Library Education
Langlois, Alexis; Nie, Jian-Yun; Thomas, James; Hong, Quan Nha; Pluye, Pierre – Research Synthesis Methods, 2018
Objective: Identify the most performant automated text classification method (eg, algorithm) for differentiating empirical studies from nonempirical works in order to facilitate systematic mixed studies reviews. Methods: The algorithms were trained and validated with 8050 database records, which had previously been manually categorized as…
Descriptors: Mixed Methods Research, Databases, Information Retrieval, Search Strategies
Rajagopal, Prabha; Ravana, Sri Devi – Information Research: An International Electronic Journal, 2017
Introduction: The use of averaged topic-level scores can result in the loss of valuable data and can cause misinterpretation of the effectiveness of system performance. This study aims to use the scores of each document to evaluate document retrieval systems in a pairwise system evaluation. Method: The chosen evaluation metrics are document-level…
Descriptors: Information Retrieval, Documentation, Scores, Information Systems
Marshall, Iain J.; Noel-Storr, Anna; Kuiper, Joël; Thomas, James; Wallace, Byron C. – Research Synthesis Methods, 2018
Machine learning (ML) algorithms have proven highly accurate for identifying Randomized Controlled Trials (RCTs) but are not used much in practice, in part because the best way to make use of the technology in a typical workflow is unclear. In this work, we evaluate ML models for RCT classification (support vector machines, convolutional neural…
Descriptors: Randomized Controlled Trials, Accuracy, Computer Software, Classification
Bhatia, Sumit – ProQuest LLC, 2013
Online discussion forums have become popular in recent times. They provide a platform for people from different parts of the world sharing a common interest to come together and topics of mutual interest and seek solutions to their problems. There are hundreds of thousands of internet forums containing tens of millions of discussion threads and…
Descriptors: Access to Information, Computer Mediated Communication, Discussion Groups, Internet
Jackson, David M. – 1969
The idea of pseudo-classification based on external relevance is introduced and compared with the more usual classifications derived by associative techniques. A general model for an information retrieval system using term classification is described. The derivation of a set of operators, or perturbations, for adjusting pseudo-classification and…
Descriptors: Classification, Documentation, Evaluation, Information Retrieval
FREEMAN, ROBERT R.; ATHERTON, PAULINE – 1968
THIS APPENDIX TO THE FINAL REPORT OF THE AIP/UDC PROJECT (LI 000 583) INCLUDES THE COMPLETE, MERGED SET OF UDC SCHEDULES ACCUMULATED BY THE AIP/UDC PROJECT FROM 1965-1967. PART 1 OF THE FILE CONTAINS 110,759 RECORDS. EACH RECORD INCLUDES THE UDC NUMBER, A CODE WHICH REPRESENTS THE SOURCE OF THE RECORD, AND THE ENGLISH LANGUAGE EQUIVALENT OF THE…
Descriptors: Classification, Documentation, Indexing, Information Retrieval
Katter, Robert V. – 1967
The investigation is part of a continuing project to find better means for studying and evaluating document representations (e.g., abstracts, indexes). The present study focused on understanding the ways individuals interpret index terms, with the goal of using the findings in improving indexing systems. Indexing systems use all-or-none bases for…
Descriptors: Classification, Correlation, Documentation, Evaluation

Allan, James – Information Processing & Management, 1997
Presents entirely automatic methods for gathering documents for a hypertext, for linking the set, and for annotating those connections with a description of the type (that is, the nature) of the link. Document linking is based on information retrieval similarity measures with adjustable levels of strictness. Evaluation problems are also…
Descriptors: Automation, Classification, Documentation, Evaluation Problems

Agosti, Maristella; And Others – Information Processing & Management, 1997
Discusses the use of information retrieval techniques for the automatic authoring of hypertext. Presents a typology of hypertext links, describes examples of automatic construction of hypertext, and considers evaluation problems. (LRW)
Descriptors: Authoring Aids (Programming), Automation, Classification, Documentation
HEALD, J. HESTON – 1967
THE BACKGROUND, OPERATIONAL, AND PROCEDURAL EVENTS LEADING TO AND INCLUDED IN THE BUILDING OF THE "THESAURUS OF ENGINEERING AND SCIENTIFIC TERMS" ARE DISCUSSED. THE WORK WAS PERFORMED BY THE OFFICE OF NAVAL RESEARCH, AT THE REQUEST OF THE DIRECTOR, DEFENSE RESEARCH AND ENGINEERING, UNDER A SPECIALLY ESTABLISHED TASK NAMED PROJECT LEX.…
Descriptors: Classification, Development, Documentation, Engineering
Van der Laan, Andre; Wijn, Jan H. de – Unesco Bulletin for Libraries, 1974
The FID Central Classification Committee is responsible for UDC and its revision. The Standard Reference Code (SRC) has been developed to meet the FID need for a new superstructure of UDC and the UNISIST need for a Broad System of Ordering. UDC and SRC will have a strong influence on each other. (Author/JB)
Descriptors: Classification, Documentation, Indexing, Information Retrieval

van Halm, Joh – Special Libraries, 1972
Mechanization has been introduced in the preparation of UDC and alphabetical indexes using a KWIC Program to access directly documentation files. A special feature of the system is that the KWIC serial number equals the program sorting number equals the encoded UDC form equals the storage or shelving number. (9 references) (Author/NH)
Descriptors: Classification, Documentation, Indexes, Information Retrieval

Atlam, El-Sayed; Morita, K.; Fuketa, M.; Aoe, Jun-ichi – Information Processing & Management, 2002
Discusses automatic document classification and document retrieval systems and presents a strategy for building a morphological machine dictionary of English that infers meaning of derivations by considering morphological affixes and their semantic classification. Proposes a method for selecting compound field association terms from a large pool…
Descriptors: Classification, Documentation, Information Retrieval, Knowledge Representation

Rada, Roy – Information Processing and Management, 1987
Reviews aspects of the relationship between machine learning and information retrieval. Highlights include learning programs that extend from knowledge-sparse learning to knowledge-rich learning; the role of the thesaurus; knowledge bases; artificial intelligence; weighting documents; work frequency; and merging classification structures. (78…
Descriptors: Algorithms, Artificial Intelligence, Classification, Documentation