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Integration of scientific experimental data through ontology approach: a review

Data integration in scientific experiments is important to the scientists in many research domains. This is because many experimental data involved multidiscipline areas and run in different machines or instruments which results in data stored in different ends and human intervention is required in...

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Main Authors: Azram, Nur Adila, Atan, Rodziah
Format: Article
Language:English
Published: Asian Research Publication Network 2016
Online Access:http://psasir.upm.edu.my/id/eprint/54592/1/Integration%20of%20scientific%20experimental%20data%20through%20ontology%20approach.pdf
http://psasir.upm.edu.my/id/eprint/54592/
http://www.jatit.org/volumes/ninetytwo1.php
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spelling my.upm.eprints.545922018-04-02T08:45:41Z http://psasir.upm.edu.my/id/eprint/54592/ Integration of scientific experimental data through ontology approach: a review Azram, Nur Adila Atan, Rodziah Data integration in scientific experiments is important to the scientists in many research domains. This is because many experimental data involved multidiscipline areas and run in different machines or instruments which results in data stored in different ends and human intervention is required in forming a chain of data analysis. Ontology is one of the approaches that have been used in data integration in many domain areas. This paper described and reviewed ontology in data integration effort. Furthermore, the state of research for ontology-based integration of scientific experiment data also covered in this paper. Asian Research Publication Network 2016-10 Article PeerReviewed text en http://psasir.upm.edu.my/id/eprint/54592/1/Integration%20of%20scientific%20experimental%20data%20through%20ontology%20approach.pdf Azram, Nur Adila and Atan, Rodziah (2016) Integration of scientific experimental data through ontology approach: a review. Journal of Theoretical and Applied Information Technology, 92 (1). pp. 64-71. ISSN 1992-8645; ESSN: 1817-3195 http://www.jatit.org/volumes/ninetytwo1.php
institution Universiti Putra Malaysia
building UPM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Putra Malaysia
content_source UPM Institutional Repository
url_provider http://psasir.upm.edu.my/
language English
description Data integration in scientific experiments is important to the scientists in many research domains. This is because many experimental data involved multidiscipline areas and run in different machines or instruments which results in data stored in different ends and human intervention is required in forming a chain of data analysis. Ontology is one of the approaches that have been used in data integration in many domain areas. This paper described and reviewed ontology in data integration effort. Furthermore, the state of research for ontology-based integration of scientific experiment data also covered in this paper.
format Article
author Azram, Nur Adila
Atan, Rodziah
spellingShingle Azram, Nur Adila
Atan, Rodziah
Integration of scientific experimental data through ontology approach: a review
author_facet Azram, Nur Adila
Atan, Rodziah
author_sort Azram, Nur Adila
title Integration of scientific experimental data through ontology approach: a review
title_short Integration of scientific experimental data through ontology approach: a review
title_full Integration of scientific experimental data through ontology approach: a review
title_fullStr Integration of scientific experimental data through ontology approach: a review
title_full_unstemmed Integration of scientific experimental data through ontology approach: a review
title_sort integration of scientific experimental data through ontology approach: a review
publisher Asian Research Publication Network
publishDate 2016
url http://psasir.upm.edu.my/id/eprint/54592/1/Integration%20of%20scientific%20experimental%20data%20through%20ontology%20approach.pdf
http://psasir.upm.edu.my/id/eprint/54592/
http://www.jatit.org/volumes/ninetytwo1.php
_version_ 1643835668959330304
score 13.211869

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