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ag视讯:2015-12-14 编辑: 来源:

Speaker: Dr. Hai Dong, Lecturer & Vice-Chancellor’s Research Fellow, RMIT University

Time: 15:30-16:30, December 14,2015

Venue: Room 310, Third Floor, Office Building, Software Campus

Host: Prof. Lizhen Cui

Title: Plain-Text-Described Service Discovery and Selection

Abstract:

In this project, we propose an approach for discovering and selecting plain-text-described services. Plain-text-described service information accounts for a vast majority of available service information over the Internet. For example, up to 98% of Cloud Services are described in plain text. Plain-text-described services are published in distributed registries and described in an unstructured, nonstandard, and untrustworthy way. All of these facts make plain-text-described services difficult to be discovered, comprehended, and selected by service consumers. This project aims to provide a solution by exploring theories and technologies across multiple areas such as Services Computing, Semantic Search, Ontology Learning, and Trust Computing.

Bio:

Dr. Hai Dong is a Lecturer and Vice-Chancellor’s Research Fellow at School of Computer Science and Information Technology in RMIT University, Melbourne, Australia. He received a PhD and a Master’s degree from Curtin University, Australia, in 2010 and 2006, and a Bachelor’s degree from Northeastern University, China, in 2003. Prior to this position, he worked as a Curtin Research Fellow at School of Information Systems in Curtin University. He has published over 50 research publications in leading international journals and conferences, such as IEEE Transactions on Services Computing, IEEE Transactions on Industrial Informatics, IEEE Transactions on Industrial Electronics, Journal of Computer and System Science, ICSOC, ICWS, etc. He is a regular reviewer of ACM Transactions on Internet Technology, IEEE Transactions on Fuzzy Systems, IEEE Transactions on Services Computing, etc. His research interests include service-oriented computing, semantic search, ontology, and cloud computing.

 

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