SWAQ: a Semantic Web Application Quality Evaluation Framework
Niyati Baliyan, Sandeep Kumar · Journal of Experimental & Theoretical Artificial Intelligence · 2018
Semantic Web Applications (SWAs) differ from Web applications and software as they capture semantics and support heterogeneous information. Therefore, evaluation of SWA’s quality should be treated differently. Quality framework for SWAs should not only retain the attributes of Web applications and software that are relevant to SWAs, but also accommodate attributes unique to SWAs. We propose SWAQ framework comprising metrics for evaluation of SWA quality attributes, which have been validated using standard criteria for quality models. SWAQ uses analytic hierarchy process for multiple criteria decision making to rank SWAs. Moreover, a fuzzy system is employed for handling uncertainty involved in quality evaluation.