Ontology-based specific and exhaustive user profiles for constraint information fusion for multi-agents
Data(s) |
2010
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Resumo |
Intelligent agents are an advanced technology utilized in Web Intelligence. When searching information from a distributed Web environment, information is retrieved by multi-agents on the client site and fused on the broker site. The current information fusion techniques rely on cooperation of agents to provide statistics. Such techniques are computationally expensive and unrealistic in the real world. In this paper, we introduce a model that uses a world ontology constructed from the Dewey Decimal Classification to acquire user profiles. By search using specific and exhaustive user profiles, information fusion techniques no longer rely on the statistics provided by agents. The model has been successfully evaluated using the large INEX data set simulating the distributed Web environment. |
Formato |
application/pdf |
Identificador | |
Publicador |
IEEE |
Relação |
http://eprints.qut.edu.au/42069/1/42069.pdf DOI:10.1109/WI-IAT.2010.76 Tao, Xiaohui, Li, Yuefeng, Lau, Raymond Y.K., & Geva, Shlomo (2010) Ontology-based specific and exhaustive user profiles for constraint information fusion for multi-agents. In 2010 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology, IEEE, York University, Toronto, pp. 264-271. http://purl.org/au-research/grants/ARC/DP0988007 |
Direitos |
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Fonte |
Faculty of Science and Technology |
Palavras-Chave | #080600 INFORMATION SYSTEMS #Distributed Information Gathering , Information Fusion , Multi-agents , Ontology , specificity and exhaustivity |
Tipo |
Conference Paper |