The Application of ß-PSML in the Social Network Problem.
ABSTRACT One of the key research challenges that we will face in developing the Wisdom Web is to make it capable of seamlessly offering solutions to users in dealing with their real world problems. Specifically speaking, In order to make online process of discovery and matching possible, individual contents or services should be developed and written following the syntax and semantics of a pre-defined Problem Solver Markup Language (PSML). Based on β-PSML, in this paper, we propose a new approach for solving problems in the social network and show the service process of the new approach.
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Conference Paper: Brain meets brawn: Why Grid and agents need each otherAutonomous Agents and Multiagent Systems, 2004. AAMAS 2004. Proceedings of the Third International Joint Conference on; 02/2004
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ABSTRACT: Developing an intelligent e-Business portal needs var-ious WI technologies. In order to represent, manage, in-tegrate, share, and use the information coming from huge, distributed, multiple data sources, we present a conceptual model with dynamic multi-level workflows corresponding to a multi-layer Grid architecture for multi-aspect analysis in building an e-Business portal on the Wisdom Web, and for dynamically organizing status-based business processes that govern enterprise application integration.
Conference Paper: Towards Brain-inspired Web Intelligence[Show abstract] [Hide abstract]
ABSTRACT: Artificial Intelligence (AI) has been mainly studied within the realm of computer based technologies. Various computational models and knowledge based systems have been developed for automated reasoning, learning, and problem-solving. However, there still exist several grand challenges. The AI research has not produced major breakthrough recently due to a lack of understanding of human brains and natural intelligence. In addition, most of the AI models and systems will not work well when dealing with large-scale, dynamically changing, open and distributed information sources at a Web scale. The next major advances in artificial intelligence and Web intelligence are most likely to be brought by an in-depth understanding of human intelligence and its application in the design and implementation of systems with human-level intelligence. To prepare us ready for the great opportunity, this talk outlines a unified framework for the study of brain inspired Web intelligence (WI) by exploring the latest results from brain informatics (BI). This leads to profound advances in the analysis and understanding of data, knowledge, intelligence and wisdom, as well as their inter-relationships, organization and creation process. The fast-evolving WI research and development initiatives are now moving towards understanding the multi-facet nature of intelligence in depth and incorporating it on a Web scale. The recently developed instrumentation (fMRI etc.) and advanced IT are causing an impending revolution in WI research and development, making it possible for us to pursue the new frontier of intelligence science and develop human-level Web intelligence.Intelligent Information Processing IV, 5th IFIP International Conference on Intelligent Information Processing, October 19-22, 2008, Beijing, China; 01/2008