Semantic Web Based Systems : Quality Assessment Models

The book initially presents the basic concepts related to the Semantic Web, Semantic Web-based applications, Web applications, Ontology, and their qualitative aspects. It then presents the evaluation  of the structural quality of modular ontologies and review on metrics for the evaluation of ontology behavior.

Further, the book discusses the qualitative evaluation of Semantic Web applications deployed on the Cloud, helping readers understand, maintain, integrate, and reuse these applications.

The book offers software engineers in general and ontology engineers in particular a single, valuable guide to help them find the best modularization on the basis of goodness of (re) use. It can also serve as an initial source of information for starting research in this domain.

Dr Sandeep Kumar is currently working as an Assistant Professor at the Department of Computer Science and Engineering, Indian Institute of Technology (IIT) Roorkee, India. His areas of interest include Semantic Web, Web Services, and Software Engineering, and he has published more than fifty research papers in international/national journals, as well as books and book chapters with Springer (USA) and IGI Publications (USA). He has also filed two patents. He received the NSF/TCPP Early Adopter Award in 2014 and 2015, the ITS Travel Award in 2013, and others. He is a member of the ACM and a senior member of the IEEE.

Dr Niyati Baliyan received her PhD degree from the Department of Computer Science and Engineering of the Indian Institute of Technology (IIT) Roorkee, India. She also attained a Post Graduate Certificate with Honors in Information Technology from Sheffield Hallam University, UK, where she was an exchange student on scholarship.

Shehas authored and reviewed many journal and conference papers. She is currently working as an Assistant Professor at Jaypee Institute of Information Technology, Noida, Uttar Pradesh, India. Her research interests include Semantic Web, Ontologies, Software Engineering and Data Analytics.