Chen, Liming, Du, Ying and Wang, Hui (2007) Towards a Bottom-up Approach to Data and Knowledge Modeling and Fusion. In: Workshop on Semantic Web for Collaborative Knowledge Acquisition, in the 20th International Joint Conference on Artificial Intelligence, Hyderabad, India. UNSPECIFIED. 6 pp. [Conference contribution]
Full text not available from this repository.
The Web is evolving into a global information and knowledge space that brings huge potentials as well as great challenges. The Semantic Web tries to harness the inter-connected information space by giving information well-defined meaning, but so far failed to deliver its promises. This paper introduces a bottom-up approach to heterogeneous data and knowledge modeling and fusion. The enabling technologies for this approach include the Semantic Web, personalized knowledge portal and social networking. We describe a system architecture that allows individuals to create semantic content in their own desktop with little effort and pool it into a global virtual knowledge base where content can be seamlessly fused and shared. A prototype system is partially developed to illustrate the operation of the approach through which testing and evaluation are conducted.
|Item Type:||Conference contribution (Paper)|
|Faculties and Schools:||Faculty of Computing & Engineering|
Faculty of Computing & Engineering > School of Computing and Mathematics
|Research Institutes and Groups:||Computer Science Research Institute|
Computer Science Research Institute > Artificial Intelligence and Applications
Computer Science Research Institute > Smart Environments
|Deposited By:||Dr Liming Chen|
|Deposited On:||09 Mar 2010 12:47|
|Last Modified:||09 May 2016 10:55|
Repository Staff Only: item control page