Ontology-based specific and exhaustive user profiles for constraint information fusion for multi-agents
Paper
Paper/Presentation Title | Ontology-based specific and exhaustive user profiles for constraint information fusion for multi-agents |
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Presentation Type | Paper |
Authors | Tao, Xiaohui (Author), Li, Yuefeng (Author), Lau, Raymond Y. K. (Author) and Geva, Shlomo (Author) |
Editors | Huang, Xiangji Jimmy, King, Irwin, Raghavan, Vijay and Rueger, Stefan |
Journal or Proceedings Title | Proceedings of the 2010 IEEE/WIC/ACM International Conference on Web Intelligence (WI 2010) |
Journal Citation | 1, pp. 264-271 |
Number of Pages | 8 |
Year | 2010 |
Place of Publication | Los Alamitos, CA. United States |
ISBN | 9780769541914 |
Digital Object Identifier (DOI) | https://doi.org/10.1109/WI-IAT.2010.76 |
Web Address (URL) of Paper | http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5616557&isnumber=5614551 |
Conference/Event | 2010 IEEE/WIC/ACM International Conference on Web Intelligence |
Event Details | 2010 IEEE/WIC/ACM International Conference on Web Intelligence Event Date 31 Aug 2010 to end of 03 Sep 2010 Event Location Toronto, Canada |
Abstract | 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. |
Keywords | distributed information gathering; information fusion; multi-agents; ontology; specificity; exhaustivity |
ANZSRC Field of Research 2020 | 490501. Applied statistics |
460612. Service oriented computing | |
460508. Information retrieval and web search | |
Public Notes | © 2010 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. |
Byline Affiliations | Queensland University of Technology |
City University of Hong Kong, China | |
Institution of Origin | University of Southern Queensland |
https://research.usq.edu.au/item/q0v2w/ontology-based-specific-and-exhaustive-user-profiles-for-constraint-information-fusion-for-multi-agents
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