Document subject matrix as a factor of precision in computerized information systems

Devices meant to improve IR systems precision have not paid much attention to the subject structure of the documents recorded in the databases, rather they have focused on indexing systems and retrieval strategies. It has been found that the subject matrix of a document - the pattern of relationship...

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Main Author: Azubuike, A.A.
Format: Journal Article
Language:Inglés
Published: 1990
Subjects:
Online Access:https://hdl.handle.net/10568/101861
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author Azubuike, A.A.
author_browse Azubuike, A.A.
author_facet Azubuike, A.A.
author_sort Azubuike, A.A.
collection Repository of Agricultural Research Outputs (CGSpace)
description Devices meant to improve IR systems precision have not paid much attention to the subject structure of the documents recorded in the databases, rather they have focused on indexing systems and retrieval strategies. It has been found that the subject matrix of a document - the pattern of relationships existing between the array of the subjects used as its descriptors - determines the chances of the document being relevant to the question for which it is retrieved. The subject matrices of most documents are such that interference of terms which result in fallouts would occur if coordination is done without recourse to the relationships existing between its descriptors as is the case when Boolean 'AND' is used in retrieval of when random pre-coordination takes place. The more complex the matrix, the higher the chances of the document being found irrelevant in an IR system output. The interference of incompatible subjects within a pool of descriptors of document record at the point of coordination is a major cause of low precision of IR systems. Improvement can be made in the performance of IR systems in terms of precision by increasing the intellectual input to indexing, especially to take into consideration the subject matrix of the document. Multiple entries should be made for any document that has a matrix of subjects that would cause it to be retrieved for questions for which it is irrelevant.
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spelling CGSpace1018612023-06-12T09:19:19Z Document subject matrix as a factor of precision in computerized information systems Azubuike, A.A. documentation data processing information retrieval Devices meant to improve IR systems precision have not paid much attention to the subject structure of the documents recorded in the databases, rather they have focused on indexing systems and retrieval strategies. It has been found that the subject matrix of a document - the pattern of relationships existing between the array of the subjects used as its descriptors - determines the chances of the document being relevant to the question for which it is retrieved. The subject matrices of most documents are such that interference of terms which result in fallouts would occur if coordination is done without recourse to the relationships existing between its descriptors as is the case when Boolean 'AND' is used in retrieval of when random pre-coordination takes place. The more complex the matrix, the higher the chances of the document being found irrelevant in an IR system output. The interference of incompatible subjects within a pool of descriptors of document record at the point of coordination is a major cause of low precision of IR systems. Improvement can be made in the performance of IR systems in terms of precision by increasing the intellectual input to indexing, especially to take into consideration the subject matrix of the document. Multiple entries should be made for any document that has a matrix of subjects that would cause it to be retrieved for questions for which it is irrelevant. 1990 2019-06-25T17:09:16Z 2019-06-25T17:09:16Z Journal Article https://hdl.handle.net/10568/101861 en Limited Access Azubuike, A.A.(1990). Document subject matrix as a factor of precision in computerized information retrieval systems. Better precision can only be managed if the indexer pays attention to the entire matrix of subject index terms, rather than the relevance of the terms in isolation. Quarterly Bulletin of IAALD, 35(2), 81-85.
spellingShingle documentation
data processing
information retrieval
Azubuike, A.A.
Document subject matrix as a factor of precision in computerized information systems
title Document subject matrix as a factor of precision in computerized information systems
title_full Document subject matrix as a factor of precision in computerized information systems
title_fullStr Document subject matrix as a factor of precision in computerized information systems
title_full_unstemmed Document subject matrix as a factor of precision in computerized information systems
title_short Document subject matrix as a factor of precision in computerized information systems
title_sort document subject matrix as a factor of precision in computerized information systems
topic documentation
data processing
information retrieval
url https://hdl.handle.net/10568/101861
work_keys_str_mv AT azubuikeaa documentsubjectmatrixasafactorofprecisionincomputerizedinformationsystems