2021
DOI: 10.1002/int.22643
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Constructing ontologies by mining deep semantics from XML Schemas and XML instance documents

Abstract: With the development of the Semantic Web and Artificial Intelligence techniques, ontology has become a very powerful way of representing not only knowledge but also their semantics. Therefore, how to construct ontologies from existing data sources has become an important research topic. In this paper, an approach for constructing ontologies by mining deep semantics from eXtensible Markup Language (XML) Schemas (including XML Schema 1.0 and XML Schema 1.1) and XML instance documents is proposed. Given an XML Sc… Show more

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Cited by 8 publications
(3 citation statements)
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“…Relational databases provide support for XML data [50,51]. SLML data, like all XML data, can be stored in a normal relational database.…”
Section: Slml Database Mapping and Graphical Representation Methodsmentioning
confidence: 99%
“…Relational databases provide support for XML data [50,51]. SLML data, like all XML data, can be stored in a normal relational database.…”
Section: Slml Database Mapping and Graphical Representation Methodsmentioning
confidence: 99%
“…Data in XML files is presented in a clear format, facilitating easy analysis, and attributes can be added to each tag for detailed descriptions. This file format, characterized by potent information storage and data transfer capabilities, enhances the study's capacity to analyze and extract key information from the RTL code, thereby aiding subsequent obfuscation efforts [16].…”
Section: Rtl Code Refactoring Modelmentioning
confidence: 99%
“…It is flexible, simple and easy to expand. Users can use any tag to define XML instance document [6]. An XML instance document contains elements and attributes.…”
Section: Summary Of Xml and Its Related Technologiesmentioning
confidence: 99%