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Article Details

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.

OntoDI: The Methodology for Ontology Development on Data Integration

Author 1: Arda Yunianta
Author 2: Ahmad Hoirul Basori
Author 3: Anton Satria Prabuwono
Author 4: Arif Bramantoro
Author 5: Irfan Syamsuddin
Author 6: Norazah Yusof
Author 7: Alaa Omran Almagrabi
Author 8: Khalid Alsubhi

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Digital Object Identifier (DOI) : 10.14569/IJACSA.2019.0100121

Article Published in International Journal of Advanced Computer Science and Applications(IJACSA), Volume 10 Issue 1, 2019.

  • Abstract and Keywords
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Abstract: The implementations of data integration in current days have many issues to be solved. Heterogeneity of data with non-standardization data, data conflicts between various data sources, data with a different representation, as well as semantic aspects problems are among the challenges and still open to research. Semantic data integration using ontology approach is considered as an appropriate solution to deal with semantic aspects problem in data integration. However, most methodologies for ontology development are developed to cover specific purpose and less suitable for common data integration implementation. This research offers an improved methodology for ontology development on data integration to deal with semantic aspects problem, called OntoDI. It is a continuation and improvement of the previous work about ontology development methods on agent system. OntoDI consists of three main parts, namely the pre-development, core-development and post-development, in which every part contains several phases. This paper describes the experiment of OntoDI in the electronic learning system domain. Using OntoDI, the development of ontology knowledge gives simpler phases, complete steps, and clear documentation for the ontology client. In addition, this ontology knowledge is also capable to overcome semantic aspect issues that happen in the sharing and integration process in education area.

Keywords: Data integration; methodology; ontology development; semantic issues; semantic approach

Arda Yunianta, Ahmad Hoirul Basori, Anton Satria Prabuwono, Arif Bramantoro, Irfan Syamsuddin, Norazah Yusof, Alaa Omran Almagrabi and Khalid Alsubhi, “OntoDI: The Methodology for Ontology Development on Data Integration” International Journal of Advanced Computer Science and Applications(IJACSA), 10(1), 2019. http://dx.doi.org/10.14569/IJACSA.2019.0100121

@article{Yunianta2019,
title = {OntoDI: The Methodology for Ontology Development on Data Integration},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2019.0100121},
url = {http://dx.doi.org/10.14569/IJACSA.2019.0100121},
year = {2019},
publisher = {The Science and Information Organization},
volume = {10},
number = {1},
author = {Arda Yunianta and Ahmad Hoirul Basori and Anton Satria Prabuwono and Arif Bramantoro and Irfan Syamsuddin and Norazah Yusof and Alaa Omran Almagrabi and Khalid Alsubhi}
}


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