CyberBrain: Towards the Next Generation Social Intelligence
Asanee Kawtrakul, W. Sriswasdi, Suparat Wuttilerdcharoenwong, Vasuthep Khunthong, Frédéric Andrès, Saovakon Laovayanon, Decha Jenkollop, W. Narkwiboonwong, Anan Pusittigul, T. Nagatsuka, S. Ninomiya · 2008
With the development of the Internet and the World Wide Web, the enormous amount of knowledge resources becomes the obstacle for knowledge consumers from effectively and efficiently accessing the information needed. To overcome such a problem, knowledge fusion is one of the solutions. This paper introduces the CyberBrain: a framework that combines approaches based on Knowledge Engineering and Language Engineering to provide the effective knowledge service. CyberBrain is a dynamic structure, interconnecting organization and communities. It behaves as a natural ecosystem, self-organizing, emerging and adaptive to acquire, collect, extract, and aggregate the related knowledge. With CyberBrain, appropriate and personalized knowledge services will be provided to support problem solving, decision making and early warning. At the current state, the framework is demonstrated with Rice Knowledge Portal using the PMM (Problem-Methods-Man) map generation. In addition, AGROVOC concept Server 1 has also been used focusing primarily on the process of