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Semantic Web-Based SystemsQuality Evaluation of Semantic Web Application as a Service

Semantic Web-Based Systems: Quality Evaluation of Semantic Web Application as a Service [The quality evaluation of Semantic Web applicationsWeb application (SWAs) in isolation is not enough. The future shall see almost all Web applications being deployed on the cloud and available to us asServiceservicesCloudservice, facilitating transparency and reusabilityReusability. The business modelFuzzymodel of cloud computingCloudcomputing provides services on demand, which are paid as per their use. The Software as a Service (SaaS)Softwareas a service (SaaS) conventional delivery modelModel of cloud computing segregates provider’s ownership from customer’s use. Since the concept of quality is crucial to services, therefore, it is plausible to build models for quality assessment of SWAs, which fit in the cloud’s SaaS paradigm. Such applications are referred to Semantic Web application as a service (SWAaaS)Semantic Webapplication as a service (SWAaaS), in the following text. In our knowledge, there are no quality factors, measures, or frameworks for tracking the quality of SWAaaS. The Semantic Web application quality frameworkFramework described in Chap. 3 is not profusely appropriate for evaluation of SWAaaS, owing to the distinctive natures of Web application and service. Previously, some ways of assessing quality of SWA and SaaS have been invented, a few of which build on quality features from existing software and Web application quality modelsModel, whereas some formulate SaaS quality metrics. few works merely present quality attributes in the context of Service Level Agreement (SLA) and Quality of Service (QoS)Qualityof service (QoS) parameters. Here, the representative quality factorsQualityfactor influencing SWAaaS are recognized after the literature review and a Hierarchical Fuzzy System (HFS) has been developed to assess SWAaaS quality. The quality attributesQualityattribute of HFS have been validated using IEEE 1061 framework. Results of experiments show that our HFS handles multiple quality attributes, and may perform quality-based ranking of SWAs available as servicesService. The hierarchical fuzzy quality model discussed here may serve as a beginning point toward an all-inclusive quality model aimed to facilitate a SWAaaS consumer to choose the best quality service among SWAs available as a service on the cloud. Additionally, HFS may act as a directive to SWAaaS provider for the betterment of quality of SWA that is being provided as a service.] http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png

Semantic Web-Based SystemsQuality Evaluation of Semantic Web Application as a Service

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/lp/springer-journals/semantic-web-based-systems-quality-evaluation-of-semantic-web-Rwkng30gN9
Publisher
Springer Singapore
Copyright
© The Author(s) 2018
ISBN
978-981-10-7699-2
Pages
75 –87
DOI
10.1007/978-981-10-7700-5_4
Publisher site
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Abstract

[The quality evaluation of Semantic Web applicationsWeb application (SWAs) in isolation is not enough. The future shall see almost all Web applications being deployed on the cloud and available to us asServiceservicesCloudservice, facilitating transparency and reusabilityReusability. The business modelFuzzymodel of cloud computingCloudcomputing provides services on demand, which are paid as per their use. The Software as a Service (SaaS)Softwareas a service (SaaS) conventional delivery modelModel of cloud computing segregates provider’s ownership from customer’s use. Since the concept of quality is crucial to services, therefore, it is plausible to build models for quality assessment of SWAs, which fit in the cloud’s SaaS paradigm. Such applications are referred to Semantic Web application as a service (SWAaaS)Semantic Webapplication as a service (SWAaaS), in the following text. In our knowledge, there are no quality factors, measures, or frameworks for tracking the quality of SWAaaS. The Semantic Web application quality frameworkFramework described in Chap. 3 is not profusely appropriate for evaluation of SWAaaS, owing to the distinctive natures of Web application and service. Previously, some ways of assessing quality of SWA and SaaS have been invented, a few of which build on quality features from existing software and Web application quality modelsModel, whereas some formulate SaaS quality metrics. few works merely present quality attributes in the context of Service Level Agreement (SLA) and Quality of Service (QoS)Qualityof service (QoS) parameters. Here, the representative quality factorsQualityfactor influencing SWAaaS are recognized after the literature review and a Hierarchical Fuzzy System (HFS) has been developed to assess SWAaaS quality. The quality attributesQualityattribute of HFS have been validated using IEEE 1061 framework. Results of experiments show that our HFS handles multiple quality attributes, and may perform quality-based ranking of SWAs available as servicesService. The hierarchical fuzzy quality model discussed here may serve as a beginning point toward an all-inclusive quality model aimed to facilitate a SWAaaS consumer to choose the best quality service among SWAs available as a service on the cloud. Additionally, HFS may act as a directive to SWAaaS provider for the betterment of quality of SWA that is being provided as a service.]

Published: Jul 11, 2018

Keywords: Semantic Web application; Service; Hierarchical fuzzy inference system

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