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Coupling Metrics for Ontology-Based Systems
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/MS.2006.46March/April 2006 (vol. 23 no. 2) pp. 102-108
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Anthony M. Orme, University of Alabama in Huntsville
Haining Yao, University of Alabama in Huntsville
Letha H. Etzkorn, University of Alabama in Huntsville
XML has become common in Internet-based application domains such as business-to-business and business-to-consumer applications. It has also formed a basis for service-oriented architectures such as Web services and the Semantic Web, particularly because ontology data employed in the Semantic Web are stored in XML. Measuring system coupling is a commonly accepted software engineering practice associated with producing high-quality software products. In many application domains, we can assess coupling in ontology-based systems before system development by measuring coupling in ontology data. (Because ontologies are built independently of applications that access them, they can be assessed for coupling before system development.) A proposed set of metrics measures coupling of ontology data in ontology-based systems represented in the Web Ontology Language (OWL), a derivative of XML. A real-world study demonstrates the metrics? use in integrating ontologies.
Index Terms:
ontology, metric, measure
Citation:
Anthony M. Orme, Haining Yao, Letha H. Etzkorn, "Coupling Metrics for Ontology-Based Systems," IEEE Software, vol. 23, no. 2, pp. 102-108, Mar./Apr. 2006, doi:10.1109/MS.2006.46
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