Semantic data mapping technology to solve semantic data problem on heterogeneity aspect

The diversity of applications developed with different programming languages, application/data architectures, database systems and representation of data/information leads to heterogeneity issues. One of the problem challenges in the problem of heterogeneity is about heterogeneity data in term of se...

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Main Authors: Yunianta, Arda (Author), Barukab, Omar Mohammed (Author), Yusof, Norazah (Author), Dengen, Nataniel (Author), Haviluddin, Haviluddin (Author), Othman, Mohd Shahizan (Author)
Format: EJournal Article
Published: Universitas Ahmad Dahlan, 2017-12-01.
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001 IJAIN_131_ijain_v3i3_p161-172
042 |a dc 
100 1 0 |a Yunianta, Arda  |e author 
100 1 0 |e contributor 
700 1 0 |a Barukab, Omar Mohammed  |e author 
700 1 0 |a Yusof, Norazah  |e author 
700 1 0 |a Dengen, Nataniel  |e author 
700 1 0 |a Haviluddin, Haviluddin  |e author 
700 1 0 |a Othman, Mohd Shahizan  |e author 
245 0 0 |a Semantic data mapping technology to solve semantic data problem on heterogeneity aspect 
260 |b Universitas Ahmad Dahlan,   |c 2017-12-01. 
500 |a https://ijain.org/index.php/IJAIN/article/view/131 
520 |a The diversity of applications developed with different programming languages, application/data architectures, database systems and representation of data/information leads to heterogeneity issues. One of the problem challenges in the problem of heterogeneity is about heterogeneity data in term of semantic aspect. The semantic aspect is about data that has the same name with different meaning or data that has a different name with the same meaning. The semantic data mapping process is the best solution in the current days to solve semantic data problem. There are many semantic data mapping technologies that have been used in recent years. This research aims to compare and analyze existing semantic data mapping technology using five criteria's. After comparative and analytical process, this research provides recommendations of appropriate semantic data mapping technology based on several criteria's. Furthermore, at the end of this research we apply the recommended semantic data mapping technology to be implemented with the real data in the specific application. The result of this research is the semantic data mapping file that contains all data structures in the application data source. This semantic data mapping file can be used to map, share and integrate with other semantic data mapping from other applications and can also be used to integrate with the ontology language. 
540 |a Copyright (c) 2017 Arda Yunianta, Omar Mohammed Barukab, Norazah Yusof, Nataniel Dengen, Haviluddin Haviluddin, Mohd Shahizan Othman 
540 |a https://creativecommons.org/licenses/by-sa/4.0 
546 |a eng 
690 |a Ontology; Education Domain; Semantic approach 
655 7 |a info:eu-repo/semantics/article  |2 local 
655 7 |a info:eu-repo/semantics/publishedVersion  |2 local 
655 7 |2 local 
786 0 |n International Journal of Advances in Intelligent Informatics; Vol 3, No 3 (2017): November 2017; 161-172 
786 0 |n 2548-3161 
786 0 |n 2442-6571 
787 0 |n https://ijain.org/index.php/IJAIN/article/view/131/ijain_v3i3_p161-172 
856 4 1 |u https://ijain.org/index.php/IJAIN/article/view/131/ijain_v3i3_p161-172  |z Get Fulltext