P2P Content Searching Method using Semantic Vector which is Managed on CAN Topoogy
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| Title | P2P Content Searching Method using Semantic Vector which is Managed on CAN Topoogy |
| Authors | |
| Abstract | With today´s advances in Peer-to-Peer (P2P) searching technology, a lot of non-document content has become searchable and usable. In the near future, since a huge amount of content is distributed over the networks, not only index server searching but also P2P searching will become important because of its scalability and robustness. Typical P2P contents sharing services have some problems, such as low search precision ratio, significant increase in traffic and inundations of malicious content such as virus. In this paper, with ideas of the CAN (Content Addressable Network) topology and a vector space method where vectors have a variable length, we propose a new P2P content searching method in which a query is effectively forwarded only to peers that have indices of content semantically similar to the desired one but not forwarded to the same peer repeatedly. The main part of our proposal is to map non-document content to a vector space based on users´ evaluation and to manage vector space or to route queries using the CAN topology control. The effectiveness of the proposal is shown both by analytical estimations and simulation experiments. Our simulation experiments clarify that the proposed method is effective in improving the precision and recall ratios while reducing the amount of traffic compared with the Gnutella flooding and the vector space method in which vector lengths are fixed (close to pSearch method). In particular, when there is a lot of malicious content, the proposed method exhibited a higher precision ratio than other methods. |
| Publisher | ACADEMY PUBLISHER |
| Date | 2006-09-01 |
| Source | Journal of Multimedia Vol 1, No 6 (2006) |
| Rights | Copyright © ACADEMY PUBLISHER - All Rights Reserved.To request permission, please check out URL: http://www.academypublisher.com/copyrightpermission.html. |