A Gray Code Based Ordering for Documents on Shelves: Classification for Browsing and Retrieval.

Fuente: ERIC Institute of Education Sciences
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Bibliographic Details
Main Author: Losee, Robert M., Jr.
Format: Recurso educativo Open Access
Language:en
Published: 1992
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author Losee, Robert M., Jr.
author_facet Losee, Robert M., Jr.
Losee, Robert M., Jr.
collection Education Resources Information Center
contents A Gray Code Based Ordering for Documents on Shelves: Classification for Browsing and Retrieval. Losee, Robert M., Jr. Automatic Indexing Cataloging Classification Comparative Analysis Evaluation Criteria Information Retrieval Library of Congress Classification Models Proposes an automated document classification system based on the Gray code, information-theoretic considerations, and requirements of classification systems including objectivity, inclusion, linearity, and increasing distance-dissimilarity. A measure to evaluate system performance is developed, and the proposed system is compared with the Library of Congress Classification system. (28 references) (MES)
format Recurso educativo Open Access
id eric_EJ444849
institution ERIC Institute of Education Sciences
language en
publishDate 1992
record_format eric
spellingShingle A Gray Code Based Ordering for Documents on Shelves: Classification for Browsing and Retrieval.
Losee, Robert M., Jr.
Automatic Indexing
Cataloging
Classification
Comparative Analysis
Evaluation Criteria
Information Retrieval
Library of Congress Classification
Models
A Gray Code Based Ordering for Documents on Shelves: Classification for Browsing and Retrieval. Losee, Robert M., Jr. Automatic Indexing Cataloging Classification Comparative Analysis Evaluation Criteria Information Retrieval Library of Congress Classification Models Proposes an automated document classification system based on the Gray code, information-theoretic considerations, and requirements of classification systems including objectivity, inclusion, linearity, and increasing distance-dissimilarity. A measure to evaluate system performance is developed, and the proposed system is compared with the Library of Congress Classification system. (28 references) (MES)
title A Gray Code Based Ordering for Documents on Shelves: Classification for Browsing and Retrieval.
topic Automatic Indexing
Cataloging
Classification
Comparative Analysis
Evaluation Criteria
Information Retrieval
Library of Congress Classification
Models
url https://eric.ed.gov/?id=EJ444849