A Methodology for Engineering Domain Ontology using Entity Relationship Model

Ontology engineering is an important aspect of semantic web vision to attain the meaningful representation of data. Although various techniques exist for the creation of ontology, most of the methods involve the number of complex phases, scenario-dependent ontology development, and poor validation...

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Main Authors: Raza, Muhammad Ahsan, Rahmah, Mokhtar, Noraziah, Ahmad, Raza, Sehrish, Roslina, Abd Hamid
Format: Article
Language:English
Published: The Science and Information (SAI) Organization Limited 2019
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Online Access:http://umpir.ump.edu.my/id/eprint/25905/1/Methodology%20for%20Engineering%20Domain%20Ontology.pdf
http://umpir.ump.edu.my/id/eprint/25905/
http://dx.doi.org/10.14569/IJACSA.2019.0100842
http://dx.doi.org/10.14569/IJACSA.2019.0100842
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spelling my.ump.umpir.259052019-10-03T03:12:50Z http://umpir.ump.edu.my/id/eprint/25905/ A Methodology for Engineering Domain Ontology using Entity Relationship Model Raza, Muhammad Ahsan Rahmah, Mokhtar Noraziah, Ahmad Raza, Sehrish Roslina, Abd Hamid QA75 Electronic computers. Computer science Ontology engineering is an important aspect of semantic web vision to attain the meaningful representation of data. Although various techniques exist for the creation of ontology, most of the methods involve the number of complex phases, scenario-dependent ontology development, and poor validation of ontology. This research work presents a lightweight approach to build domain ontology using Entity Relationship (ER) model. Firstly, a detailed analysis of intended domain is performed to develop the ER model. In the next phase, ER to ontology (EROnt) conversion rules are outlined, and finally the system prototype is developed to construct the ontology. The proposed approach investigates the domain of information technology curriculum for the successful interpretation of concepts, attributes, relationships of concepts and constraints among the concepts of the ontology. The experts’ evaluation of accurate identification of ontology vocabulary shows that the method performed well on curriculum data with 95.75% average precision and 90.75% average recall The Science and Information (SAI) Organization Limited 2019-08-31 Article PeerReviewed pdf en cc_by_4 http://umpir.ump.edu.my/id/eprint/25905/1/Methodology%20for%20Engineering%20Domain%20Ontology.pdf Raza, Muhammad Ahsan and Rahmah, Mokhtar and Noraziah, Ahmad and Raza, Sehrish and Roslina, Abd Hamid (2019) A Methodology for Engineering Domain Ontology using Entity Relationship Model. International Journal of Advanced Computer Science and Applications (IJACSA), 10 (8). pp. 326-332. ISSN 2156-5570(Online) http://dx.doi.org/10.14569/IJACSA.2019.0100842 http://dx.doi.org/10.14569/IJACSA.2019.0100842
institution Universiti Malaysia Pahang
building UMP Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaysia Pahang
content_source UMP Institutional Repository
url_provider http://umpir.ump.edu.my/
language English
topic QA75 Electronic computers. Computer science
spellingShingle QA75 Electronic computers. Computer science
Raza, Muhammad Ahsan
Rahmah, Mokhtar
Noraziah, Ahmad
Raza, Sehrish
Roslina, Abd Hamid
A Methodology for Engineering Domain Ontology using Entity Relationship Model
description Ontology engineering is an important aspect of semantic web vision to attain the meaningful representation of data. Although various techniques exist for the creation of ontology, most of the methods involve the number of complex phases, scenario-dependent ontology development, and poor validation of ontology. This research work presents a lightweight approach to build domain ontology using Entity Relationship (ER) model. Firstly, a detailed analysis of intended domain is performed to develop the ER model. In the next phase, ER to ontology (EROnt) conversion rules are outlined, and finally the system prototype is developed to construct the ontology. The proposed approach investigates the domain of information technology curriculum for the successful interpretation of concepts, attributes, relationships of concepts and constraints among the concepts of the ontology. The experts’ evaluation of accurate identification of ontology vocabulary shows that the method performed well on curriculum data with 95.75% average precision and 90.75% average recall
format Article
author Raza, Muhammad Ahsan
Rahmah, Mokhtar
Noraziah, Ahmad
Raza, Sehrish
Roslina, Abd Hamid
author_facet Raza, Muhammad Ahsan
Rahmah, Mokhtar
Noraziah, Ahmad
Raza, Sehrish
Roslina, Abd Hamid
author_sort Raza, Muhammad Ahsan
title A Methodology for Engineering Domain Ontology using Entity Relationship Model
title_short A Methodology for Engineering Domain Ontology using Entity Relationship Model
title_full A Methodology for Engineering Domain Ontology using Entity Relationship Model
title_fullStr A Methodology for Engineering Domain Ontology using Entity Relationship Model
title_full_unstemmed A Methodology for Engineering Domain Ontology using Entity Relationship Model
title_sort methodology for engineering domain ontology using entity relationship model
publisher The Science and Information (SAI) Organization Limited
publishDate 2019
url http://umpir.ump.edu.my/id/eprint/25905/1/Methodology%20for%20Engineering%20Domain%20Ontology.pdf
http://umpir.ump.edu.my/id/eprint/25905/
http://dx.doi.org/10.14569/IJACSA.2019.0100842
http://dx.doi.org/10.14569/IJACSA.2019.0100842
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score 13.214268