Mapping of extensible markup language-to-ontology representation for effective data integration
نویسندگان
چکیده
<span lang="EN-US">Extensible markup language (XML) is well-known as the standard for data exchange over Internet. It flexible and has high expressibility to express relationship between stored. Yet, structural complexity semantic relationships are not well expressed. On other hand, ontology models structural, domain knowledge effectively. By combining with visualization effect, one will be able have a closer view based on respective user requirements. In this paper, we propose several mapping rules transformation of XML into representation. Subsequently, show how constructed proposed using sample in University Wisconsin-Milwaukee (UWM) mondial datasets. <br /> We also look at schemas, query workload, evaluation, derive extended from existing ontology. The correctness representation been proven effective through supporting various types complex queries simple protocol resource description framework (SPARQL) language.</span>
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ژورنال
عنوان ژورنال: IAES International Journal of Artificial Intelligence
سال: 2023
ISSN: ['2089-4872', '2252-8938']
DOI: https://doi.org/10.11591/ijai.v12.i1.pp432-442