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]
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Abstract
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 |
| ID Code: | 8731 |
| Deposited By: | Dr Liming Chen |
| Deposited On: | 09 Mar 2010 12:47 |
| Last Modified: | 09 Mar 2010 12:47 |
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