Department of Computer Science
Dynamic sub-ontology evolution for collaborative problem-solving
Emerging Web technologies have enabled the use of distributed on-line resources to support on-demand cooperative problem solving. Domain ontology is one of the resources typically required by many existing problemsolving systems. In this paper, we argue that to meet the ondemand requirement, on-line problem-solvers should go beyond the use of static domain ontology and be able to self-evolve and specialize in the knowledge they possess (called sub-ontology). Building on top of the Semantic Web technology, we propose an agent-oriented architecture and a sub-ontology evolution mechanism for dynamic selforganization of domain sub-ontologies to result in a truly intelligent and on-demand problem-solving platform in a distributed environment like the Web/Grid.
Source Publication Title
Agents and semantic web: Papers from the 2004 AAAI fall symposium ; [November 4-6, 2005, Arlington, Virginia]
Payne, Terry ; Tamma, Valentina
Arlington, United States
Place of Publication
Menlo Park, California
This work was partially supported by a grant from RGC Central Allocation Group Research Grant (HKBU 2/03/C), a grant from the Major State Basic Research Development Program of China (973 Program) under grant number 2003CB316906, a grant from the National High Technology Research and Development Program of China (863 Program): TCM Virtual Research Institute (subprogram of Scientific Data Grid), and also a grant from the Science and Technique Foundation Programs Foundation of Ministry of Education of China (No. NCET-04-0545).
Link to Publisher's Edition
Mao, Yuxin, William K. Cheung, Zhaohui Wu, and Jiming Liu. "Dynamic sub-ontology evolution for collaborative problem-solving." Agents and semantic web: Papers from the 2004 AAAI fall symposium ; [November 4-6, 2005, Arlington, Virginia] (2005): 1-8.