期刊名称：International Journal of Advanced Computer Science and Applications(IJACSA)
印刷版ISSN：2158-107X
电子版ISSN：2156-5570
出版年度：2019
卷号：10
期号：10
页码：213-218
出版社：Science and Information Society (SAI)
摘要：The amount of data circulating through the web
has grown rapidly recently. This data is available as semistructured
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.
关键词：JSON documents; OWL2 ontologies; ontology
generation; transformation rules; information theory;
classification; decision trees
