University of California, Riverside

Department of Electrical and Computer Engineering

Semantic Computing and Its Applications

Semantic Computing and Its Applications

Semantic Computing and Its Applications

June 2, 2014 - 11:00 am
Winston Chung Hall, 205/206


Semantic Computing (SC) is an emerging field that addresses computing technologies which allow users to search, create, manipulate and connect computational resources (including data, documents, tools, people, agents, devices, etc.) based on semantics.  Semantic Computing includes the computing technologies (e.g., artificial intelligence, natural language, software engineering, data and knowledge engineering, computer systems, signal processing, etc.), and their interactions, that may be used to extract or process computational content and descriptions. While some areas of Semantic Computing have appeared as pieces in different disciplines, Semantic Computing glues these pieces together into an integrated theme with synergetic interactions. It addresses not only the analysis and transformation of signals (e.g., pixels, words) into useful information, but also how such information can be accessed and used to synthesize new signals.  The National Science Foundation has approved the planning of an Industry/University Cooperative Research Center (I/UCRC) for Semantic Computing currently involving UCI, UCSD and UCLA. The missions of the I/UCRC are to develop semantic technologies that may facilitate the transition of the Internet into its next generation, and develop new business models to stimulate, strengthen, and grow the economy.  An important outcome of this I/UCRC is a Semantic Problem Solving Engine that integrates resources including data, documents, devices, products, services and people from all domains. The resources are interconnected and integrated with a service-oriented architecture and a semantic layer to help the public to solve general problems and professional users to solve domain specific problems.  This talk will introduce Semantic Computing and its applications especially in big data analytics, automobile manufacturing, maintenance and transportation, the operations of the I/UCRC, the architecture of the Problem Solving Engine, and how companies and academic researchers can benefit.



Phillip C.-Y. Sheu is a professor of EECS, Computer Science and Biomedical Engineering at the University of California, Irvine. He received his B.S. degree in EE from National Taiwan University, and MS and Ph.D degrees in EECS from the University of California at Berkeley.  Dr. Sheu’s current research interests include semantic computing and complex biomedical systems. He is a fellow of IEEE, a founder of the IEEE Computer Society Technical Committee on Semantic Computing (TCSEM), IEEE International Conference on Semantic Computing (ICSC), International Journal of Semantic Computing (IJSC), the NSF I/UCRC (Industry University Cooperative Research Center) for Semantic Computing (ISC) being planned, and a main author of the book Semantic Computing (SC, eds. P. Sheu, H. Yu, C.V. Ramamoorthy, A. Joshi and L.A. Zadeh, IEEE and Wiley, 2010)



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University of California, Riverside
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Electrical and Computer Engineering
Suite 343 Winston Chung Hall
University of California, Riverside
Riverside, CA 92521-0429

Tel: (951) 827-2484
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