Please use this identifier to cite or link to this item: http://hdl.handle.net/1959.14/25771
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- Title
- Intelligent agents and P2P Semantic Web
- Related
- International Computer Software and Applications Conference (COMPSAC 2007) (31st : 2007) (23 - 27 July 2007 : Beijing)
- Related
- Proceedings of 31st annual international computer software and applications conference (COMPSAC 2007), p.185
- DOI
- 10.1109/COMPSAC.2007.131
- Publisher
- Beijing, China : IEEE
- Date
- 2007
- Author/Creator
- Orgun, Mehmet A
- Description
- The semantic Web aims to address the limitations of the World Wide Web by providing content that can be interpreted by both humans and machines, thus enabling intelligent agents acting on behalf of humans and/or other agents to discover and reason with the available information in Berners-Lee, J. (2001). While there has been tremendous progress on the infrastructure development for the Semantic Web, it has been observed that comparable progress in the use of the agent technology is still lacking by Hendler, J. (2007). In the mean time, Peer-to-Peer (P2P) networks have been very successful by making available and redistributing huge amounts of data among millions of networked computers. This naturally leads to the concept of a distributed Semantic Web archive integrated with the existing Semantic Web that resides on a P2P network of user nodes (hence so-called P2P Semantic Web).
- Description
- 1 page(s)
- Subject Keyword
- multi-agent systems
- Subject Keyword
- peer-to-peer computing
- Subject Keyword
- Semantic Web
- Resource Type
- conference paper abstract
- Organisation
- Macquarie University. Dept. of Computing
- Identifier
- http://hdl.handle.net/1959.14/25771
- Identifier
- ISBN:0769528708
- Identifier
- ISSN:0730-3157
- Identifier
- mq-rm-2007003227
- Language
- eng
- Rights
- Copyright 2007 IEEE. Reprinted from Proceedings of 31st annual international computer software and applications conference. This material is posted here with permission of the IEEE. Such permission of the IEEE does not in any way imply IEEE endorsement of any of Macquarie University’s products or services. Internal or personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution must be obtained from the IEEE by writing to pubs-permissions@ieee.org. By choosing to view this document, you agree to all provisions of the copyright laws protecting it.
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