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International Journal of Advanced Computer Science and Applications(IJACSA), Volume 10 Issue 8, 2019.
Abstract: 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.
Muhammad Ahsan Raza, M. Rahmah, Sehrish Raza, A. Noraziah and Roslina Abd. Hamid, “A Methodology for Engineering Domain Ontology using Entity Relationship Model” International Journal of Advanced Computer Science and Applications(IJACSA), 10(8), 2019. http://dx.doi.org/10.14569/IJACSA.2019.0100842
@article{Raza2019,
title = {A Methodology for Engineering Domain Ontology using Entity Relationship Model},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2019.0100842},
url = {http://dx.doi.org/10.14569/IJACSA.2019.0100842},
year = {2019},
publisher = {The Science and Information Organization},
volume = {10},
number = {8},
author = {Muhammad Ahsan Raza and M. Rahmah and Sehrish Raza and A. Noraziah and Roslina Abd. Hamid}
}
Copyright Statement: This is an open access article licensed under a Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, even commercially as long as the original work is properly cited.