Ontology-based information retrieval for historical documents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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التنسيق: | E-Article |
اللغة: | English |
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Institute of Electrical and Electronics Engineers Inc.
2017
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الوصول للمادة أونلاين: | 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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my.unimas.ir.162792017-05-22T06:17:56Z http://ir.unimas.my/id/eprint/16279/ Ontology-based information retrieval for historical documents Fatihah, Ramli Shahrul Azman, Mohd Noah Tri Basuki, Kurniawan QA75 Electronic computers.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Fatihah, Ramli and Shahrul Azman, Mohd Noah and Tri Basuki, Kurniawan (2017) Ontology-based information retrieval for historical documents. 3rd International Conference on Information Retrieval and Knowledge Management, CAMP 2016.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 |
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1644512334235828224 |
score |
13.252575 |