Towards an analysis for quality assessment of semantic web based applications and SaaS

Abstract

Semantic Web based Applications have become very applauded these days due to their huge employment in social networks, e-learning, multimedia processing and health care industry besides their engagement in information retrieval. Semantic Web based Applications are accented by machine comprehensibility of the content, sharing and reuse among heterogeneous applications, modular structure of its domain vocabulary, and their availability as a service. Their welfares and vast usage implies us to assess quality with consideration to divergent aspects such as ontology and few other quality attributes. This paper ventures a rigorous verdict of the state-of-art in this direction. Quality assessment of Semantic Web based Applications has been probed with focus on the process, contributions and limitations of each work besides research gaps in the direction.