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Ontology-based information retrieval for historical documents

This article presents an ontology-based approach to designing and developing new representation IR system instead of conventional keyword-based approach. Such representation improves the precision and recall of document retrieval. Experiments carried out on the ontology-based approach and keyword-ba...

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Main Authors: Fatihah, Ramli, Shahrul Azman, Mohd Noah, Tri Basuki, Kurniawan
Format: E-Article
Language:English
Published: Institute of Electrical and Electronics Engineers Inc. 2017
Subjects:
QA75 Electronic computers. Computer science
Online Access:http://ir.unimas.my/id/eprint/16279/1/Ontology-Based%20Information%20Retrieval%20for%20Historical%20Documents%20%28abstract%29.pdf
http://ir.unimas.my/id/eprint/16279/
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85015958221&doi=10.1109%2fINFRKM.2016.7806335&partnerID=40&md5=4d030b92d6bb2d0231a6b05a6f208bfb
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id my.unimas.ir.16279
record_format eprints
spelling my.unimas.ir.162792017-05-22T06:17:56Z http://ir.unimas.my/id/eprint/16279/ Ontology-based information retrieval for historical documents Fatihah, Ramli Shahrul Azman, Mohd Noah Tri Basuki, Kurniawan QA75 Electronic computers. Computer science This article presents an ontology-based approach to designing and developing new representation IR system instead of conventional keyword-based approach. Such representation improves the precision and recall of document retrieval. Experiments carried out on the ontology-based approach and keyword-based approach demonstrates the effectiveness of the proposed approach. Institute of Electrical and Electronics Engineers Inc. 2017-01-04 E-Article PeerReviewed text en http://ir.unimas.my/id/eprint/16279/1/Ontology-Based%20Information%20Retrieval%20for%20Historical%20Documents%20%28abstract%29.pdf Fatihah, Ramli and Shahrul Azman, Mohd Noah and Tri Basuki, Kurniawan (2017) Ontology-based information retrieval for historical documents. 3rd International Conference on Information Retrieval and Knowledge Management, CAMP 2016. pp. 55-59. ISSN ISBN: 978-150902954-9 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85015958221&doi=10.1109%2fINFRKM.2016.7806335&partnerID=40&md5=4d030b92d6bb2d0231a6b05a6f208bfb DOI: 10.1109/INFRKM.2016.7806335
institution Universiti Malaysia Sarawak
building Centre for Academic Information Services (CAIS)
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaysia Sarawak
content_source UNIMAS Institutional Repository
url_provider http://ir.unimas.my/
language English
topic QA75 Electronic computers. Computer science
spellingShingle QA75 Electronic computers. Computer science
Fatihah, Ramli
Shahrul Azman, Mohd Noah
Tri Basuki, Kurniawan
Ontology-based information retrieval for historical documents
description This article presents an ontology-based approach to designing and developing new representation IR system instead of conventional keyword-based approach. Such representation improves the precision and recall of document retrieval. Experiments carried out on the ontology-based approach and keyword-based approach demonstrates the effectiveness of the proposed approach.
format E-Article
author Fatihah, Ramli
Shahrul Azman, Mohd Noah
Tri Basuki, Kurniawan
author_facet Fatihah, Ramli
Shahrul Azman, Mohd Noah
Tri Basuki, Kurniawan
author_sort Fatihah, Ramli
title Ontology-based information retrieval for historical documents
title_short Ontology-based information retrieval for historical documents
title_full Ontology-based information retrieval for historical documents
title_fullStr Ontology-based information retrieval for historical documents
title_full_unstemmed Ontology-based information retrieval for historical documents
title_sort ontology-based information retrieval for historical documents
publisher Institute of Electrical and Electronics Engineers Inc.
publishDate 2017
url http://ir.unimas.my/id/eprint/16279/1/Ontology-Based%20Information%20Retrieval%20for%20Historical%20Documents%20%28abstract%29.pdf
http://ir.unimas.my/id/eprint/16279/
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85015958221&doi=10.1109%2fINFRKM.2016.7806335&partnerID=40&md5=4d030b92d6bb2d0231a6b05a6f208bfb
_version_ 1644512334235828224
score 13.18916

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