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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.

JsonToOnto: Building Owl2 Ontologies from Json Documents

Author 1: Sara Sbai
Author 2: Mohammed Reda Chbihi Louhdi
Author 3: Hicham Behja
Author 4: Rabab Chakhmoune

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Digital Object Identifier (DOI) : 10.14569/IJACSA.2019.0101030

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

  • Abstract and Keywords
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Abstract: The amount of data circulating through the web has grown rapidly recently. This data is available as semi-structured or unstructured documents, especially JSON documents. However, these documents lack semantic description. In this paper, we present a method to automatically extract an OWL2 ontology from a JSON document. We propose a set of transformation rules to transform JSON elements to ontology components. Our approach also allows analyzing the content of JSON documents to discover categorization in order to generate class hierarchy. Finally, we evaluate our approach by conducting experiments on several JSON documents. The results show that the obtained ontologies are rich in terms of taxonomic relationships.

Keywords: JSON documents; OWL2 ontologies; ontology generation; transformation rules; information theory; classification; decision trees

Sara Sbai, Mohammed Reda Chbihi Louhdi, Hicham Behja and Rabab Chakhmoune, “JsonToOnto: Building Owl2 Ontologies from Json Documents” International Journal of Advanced Computer Science and Applications(IJACSA), 10(10), 2019. http://dx.doi.org/10.14569/IJACSA.2019.0101030

@article{Sbai2019,
title = {JsonToOnto: Building Owl2 Ontologies from Json Documents},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2019.0101030},
url = {http://dx.doi.org/10.14569/IJACSA.2019.0101030},
year = {2019},
publisher = {The Science and Information Organization},
volume = {10},
number = {10},
author = {Sara Sbai and Mohammed Reda Chbihi Louhdi and Hicham Behja and Rabab Chakhmoune}
}


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