게시일: Nov 27, 2014 7:32:32 AM
Dr. Byeong Ho Kang, a computer scientist, is the Associate Professor of Computing and Information Systems, University of Tasmania, Australia. Over his 25 year career, he received his Ph.D from the University of New South Wales, Sydney, in 1996, and has worked as a visiting researcher in the Advanced Research Lab. HITACHI, Japan. He has also worked in research and development projects with industries and research organizations, the Smart Internet Collaborative Research Centre, the US Air Force, Hyundai Steel, AutoEver Systems, LG-EDS, IPMS Technology and Asian Office of Aerospace Research Department, US in Japan. His research includes basic knowledge acquisition methods and many applied researches in internet systems as well as medical expert systems. He has been involved in the development of several commercial internet based applications, AI products, expert system development tools, intelligent help desk systems,
Dr. Byeong Ho Kang
Associate Professor University of Tasmania, Australia
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Web based information monitoring and classification systems, etc. He has been involved in the foundation of several spinning companies. He has served as a Chair and Steering Committee member of, Pacific Rim International Conference in Artificial Intelligence, Pacific Knowledge Acquisition Research Community, Australian AI community and many other conferences and communities. He has published more than 150 papers in journals and international conferences, editor of several books of proceedings, and guest editor for special issues of journals. He has participated in many conference organization committees, and he has been a chair of Australian AI Conference in 2006 and KM & Acquisition for Intelligent Systems (PKAW) in 2014, 2010, 2006. He is steering committee member of Pacific Rim International Conference on AI and Austrian AI conference. He is currently served as Vice President of Korean Academy of Scientists and Engineers in Australia.
The knowledge service platform is considered as one of key technologies in moving toward knowledge society from information society. In this talk, he will focus on issues in the nature of knowledge as the target resources of this platform. There are two different types of knowledge, ‘by description’ and ‘by acquaintance’. He will call the former as knowledge information’ and the latter as ‘live knowledge’. ‘Live knowledge’ is found from domain experts when they solve a problem or make a decision for a specific situation. ‘knowledge information’ is usually generated by human experts who has ‘live knowledge’ when they are asked to explain how they solve problems.
‘Knowledge’ in most knowledge service platforms is ‘knowledge information’ and some systems have a human network function like ‘Q&A’ to share ‘live knowledge’. The research and development for knowledge service platforms have focused on managing ‘knowledge information’ since the introduction of knowledge management systems later 1990s and people do not realize yet that this is a major cause of failures in most KMS systems in industries. In knowledge society, without the solution for ‘live knowledge’, the knowledge service systems only can provide ‘knowledge information’ and the future of knowledge service systems is not very bright.
In this talk, he will review some of AI technologies and their strength and weakness to be used as a tool for ‘live knowledge’ for knowledge service platforms. Also he will review the relationship between two different types of knowledge and how they should be balanced.