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Semantic Web-Based SystemsQuality Evaluation of Ontologies

Semantic Web-Based Systems: Quality Evaluation of Ontologies [This chapter handles assessment of the innermost layer of the Semantic Web cake, i.e., ontology, through a metrics suiteMetricsuite called OntoMod. We assess the syntactical composition of ontology, in addition to its behavioral aspect in a Semantic Web application. Firstly, novel cohesionCohesion and couplingCoupling metrics have been discussed, which are found to be superior in terms of accuracyAccuracy and expressive power than existing cohesion and coupling metrics, on sample ontologies. Furthermore, by using continuous scale of measurement, and tackling indirectLinkindirect relationships in ontology, our cohesion and coupling metrics can account for subtle dissimilarities among different modularizations of the same ontology. Hence, a key role of OntoMod is to help the ontology engineer in choosing the most suitable modularization of ontology according to fitness for (re)use, regardless of its type and size. Secondly, improved metrics for structural complexity of an ontology have been formulated. Finally, a few crucial metrics for behavioral assessment of ontology have been adapted from the literature and incorporated in the OntoMod suite. The only precondition for assessing structuralQualitystructural and behavioral quality of modularOntologymodular ontology through the OntoMod suite is the availabilityAvailability of partial or complete ontology visualizationOntologyvisualization. This chapter validates each of the constituent OntoMod metrics, either practically on real-world ontologies or theoretically through benchmark validationValidation frameworks.] http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png

Semantic Web-Based SystemsQuality Evaluation of Ontologies

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Publisher
Springer Singapore
Copyright
© The Author(s) 2018
ISBN
978-981-10-7699-2
Pages
19 –50
DOI
10.1007/978-981-10-7700-5_2
Publisher site
See Chapter on Publisher Site

Abstract

[This chapter handles assessment of the innermost layer of the Semantic Web cake, i.e., ontology, through a metrics suiteMetricsuite called OntoMod. We assess the syntactical composition of ontology, in addition to its behavioral aspect in a Semantic Web application. Firstly, novel cohesionCohesion and couplingCoupling metrics have been discussed, which are found to be superior in terms of accuracyAccuracy and expressive power than existing cohesion and coupling metrics, on sample ontologies. Furthermore, by using continuous scale of measurement, and tackling indirectLinkindirect relationships in ontology, our cohesion and coupling metrics can account for subtle dissimilarities among different modularizations of the same ontology. Hence, a key role of OntoMod is to help the ontology engineer in choosing the most suitable modularization of ontology according to fitness for (re)use, regardless of its type and size. Secondly, improved metrics for structural complexity of an ontology have been formulated. Finally, a few crucial metrics for behavioral assessment of ontology have been adapted from the literature and incorporated in the OntoMod suite. The only precondition for assessing structuralQualitystructural and behavioral quality of modularOntologymodular ontology through the OntoMod suite is the availabilityAvailability of partial or complete ontology visualizationOntologyvisualization. This chapter validates each of the constituent OntoMod metrics, either practically on real-world ontologies or theoretically through benchmark validationValidation frameworks.]

Published: Jul 11, 2018

Keywords: Modular ontology; Structural quality; Cohesion; Coupling; Complexity; Behavioral quality

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