| _version_ |
1860799667602718720
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| building |
INTELEK Repository
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| collection |
Online Access
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| collectionurl |
https://intelek.unisza.edu.my/intelek/pages/search.php?search=!collection407072
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| date |
2018-08-02 10:14:39
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| eventvenue |
Istanbul, Turkey
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| format |
Restricted Document
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| id |
6919
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| institution |
UniSZA
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| originalfilename |
1670-01-FH03-FIK-18-14463.jpg
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| person |
norman
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| recordtype |
oai_dc
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| resourceurl |
https://intelek.unisza.edu.my/intelek/pages/view.php?ref=6919
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| spelling |
6919 https://intelek.unisza.edu.my/intelek/pages/view.php?ref=6919 https://intelek.unisza.edu.my/intelek/pages/search.php?search=!collection407072 Restricted Document Conference Conference Paper image/jpeg inches 96 96 norman 1405 22 22 745 2018-08-02 10:14:39 1405x745 1670-01-FH03-FIK-18-14463.jpg UniSZA Private Access Concepts extraction in ontology learning using language patterns for better accuracy The identification of concepts and relations via automatic or semiautomatic are tasks in Ontology Learning. The Ontology Learning is important in minimizing effort of ontology development. It has been used in many disciplines including development of Quran ontology. In the Quran ontology development, there have been efforts to identify concepts and relations for ontology development using various methods. Among the methods employed to discover concepts is a regex pattern. The pattern is based on NLP which use tagging in their rules. This paper proposed a method that used patterns to extract concepts for Hajj Ontology development. It also has been compared against a prominence Ontology Learning system i.e. Text2Onto. The patterns also have been compared with Qterm pattern which is specifically designed for Solah domain in the Quran. Results indicate that the proposed patterns improve the precision with 82.4% and recall with 85.7% as compared to the both approaches. 4th International Conference on Computer and Technology Applications, ICCTA 2018 Istanbul, Turkey
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| spellingShingle |
Concepts extraction in ontology learning using language patterns for better accuracy
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| summary |
The identification of concepts and relations via automatic or semiautomatic are tasks in Ontology Learning. The Ontology Learning is important in minimizing effort of ontology development. It has been used in many disciplines including development of Quran ontology. In the Quran ontology development, there have been efforts to identify concepts and relations for ontology development using various methods. Among the methods employed to discover concepts is a regex pattern. The pattern is based on NLP which use tagging in their rules. This paper proposed a method that used patterns to extract concepts for Hajj Ontology development. It also has been compared against a prominence Ontology Learning system i.e. Text2Onto. The patterns also have been compared with Qterm pattern which is specifically designed for Solah domain in the Quran. Results indicate that the proposed patterns improve the precision with 82.4% and recall with 85.7% as compared to the both approaches.
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| title |
Concepts extraction in ontology learning using language patterns for better accuracy
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| title_full |
Concepts extraction in ontology learning using language patterns for better accuracy
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| title_fullStr |
Concepts extraction in ontology learning using language patterns for better accuracy
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| title_full_unstemmed |
Concepts extraction in ontology learning using language patterns for better accuracy
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| title_short |
Concepts extraction in ontology learning using language patterns for better accuracy
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| title_sort |
concepts extraction in ontology learning using language patterns for better accuracy
|