Semantic Web technology is of fundamental interest to researchers in a number of fields, including information systems and Web design, as continued advancements in this discipline impact other, related fields of study. Semantic Services, Interoperability and Web Applications: Emerging Concepts offers suggestions, solutions, and recommendations for new and emerging research in Semantic Web technology. Focusing broadly on methods and techniques for making the Web more useful and meaningful, this book unites discussions on Semantic Web directions, issues, and challenges.

About the Author

Amit Sheth is an educator, researcher, and entrepreneur. He is a LexisNexis Eminent Scholar (an endowed faculty position, funded by LexisNexis and the Ohio Board of Regents), an IEEE Fellow, and the director of the Ohio Center of Excellence in Knowledge-enabled Computing (Kno.e.sis) at Wright State University. which conducts research in Semantic Web, services computing, and scientific worklfows. His current work encompasses WWW subareas of Semantic Web, Social Web, Semantic Sensor Web/WoT and semantics enabled services and cloud computing, and their innovative applications to health, fitness and well being, and several other industries.

Earlier, Dr. Sheth was a professor at the University of Georgia, where he started the LSDIS lab in 1994, and he served in R&D groups at Bellcore, Unisys, and Honeywell. His h-index of 75 and the 23K+ citations to his publications places him among the top 100 in Computer Science and top few in WWW. His research has led to several commercial products, many deployed applications and two successful companies. He serves as technology and business advisor to startups and additional commercialization of his research continues. He is on several journal editorial boards, is the Editor-in-Chief of the International Journal on Semantic Web and Information Systems (IJSWIS), joint Editor-in-Chief of Distributed and Parallel Databases (DAPD), and a co-editor of two Springer book series (Semantic Web and Beyond: Computing for Human Experience, and Advanced Database Systems).

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