Description
With the development of Web 2.0 technologies, the internet has become a huge platform for information and data sharing. As such, web services provide an important foundation for branching technologies in end-user computing and applications. To make online technology more accessible for users, it is important to optimize web services to function properly or offer a personalized experience.
Innovative Solutions and Applications of Web Services Technology is a collection of innovative research on the methods and applications of existing technologies for web service usability and accessibility. Highlighting a range of topics including business processes, cyber-physical systems, and recommendation accuracy, this book is ideally designed for IT professionals, researchers, graduate-level students, software developers, academicians, and computer engineers seeking current research on adapting online information and services to user needs.
Author's/Editor's Biography
Liang-Jie Zhang (Ed.)
Liang-Jie (LJ) Zhang received his Ph.D. on Pattern Recognition and Intelligent Control from Tsinghua University. Currently, he is the Chief Technology Officer (CTO) and Senior Vice President of Kingdee International Software Group Company Limited. Dr. Zhang has published more than 160 technical papers in journals, book chapters, and conference proceedings. He has 50 granted patents. He was elected as an IEEE Fellow in 2011, and in the same year won the Technical Achievement Award "for pioneering contributions to Application Design Techniques in Services Computing" from the IEEE Computer Society. He has served as the President of Shenzhen Big Data Alliance since 2013. Dr. Zhang is the Editor-in-Chief of the
International Journal of Web Services Research (IJWSR)."
Yishuang Ning (Ed.)
Dr.
Yishuang Ning is a Postdoctoral Researcher of Research at Kingdee International Software Group Company Limited and Tsinghua University. He received his Ph.D degree in computer science and technology from the Tsinghua University in 2017. His research interests include deep learning, machine translation, emphasis detection and expressive speech synthesis as well as user intention understanding of speech. Dr. Ning has published more than 10 research papers in journals and conference proceedings in speech and artificial intelligence fields, including MTA, AAAI, ICASSP, ICME, Interspeech, etc. Some of his research papers have been published in top-tier conferences. He is a member of CCF and ISCA, and an associate editor of
International Journal of Web Services Research (IJWSR).