Local semantic indexing for resource discovery on overlay network using mobile agents
Article
Singh, M., Cheng, X. and Belavkin, R. 2014. Local semantic indexing for resource discovery on overlay network using mobile agents. International Journal of Computational Intelligence Systems. 7 (3), pp. 432-455. https://doi.org/10.1080/18756891.2013.856257
Type | Article |
---|---|
Title | Local semantic indexing for resource discovery on overlay network using mobile agents |
Authors | Singh, M., Cheng, X. and Belavkin, R. |
Abstract | One of the most crucial problems in a peer-to-peer system is locating of resources that are shared by various nodes. Various techniques suggested in literature suffer from drawbacks viz. saturation of network, inability to locate multi-keyword based resource or locate resource based on semantics. We present the solution that is more efficient and effective for discovering shared resources on a network that is influenced by content shared by nodes. To reduce the search load on nodes that have uncorrelated content, an efficient migration route is proposed for mobile agent that is based on cosine similarity of content shared by nodes and user query and minimum support. Results show reduction in search load and traffic due to communication, and increase in locating of resources defined by multiple keys using mobile agent that are logically similar to user query. Furthermore, the results indicate that by use of our technique the relevance of search results is higher; that is obtained by minimal traffic generation/communication and hops made by mobile agent. |
Publisher | Atlantis Press |
Journal | International Journal of Computational Intelligence Systems |
ISSN | 1875-6891 |
Electronic | 1875-6883 |
Publication dates | |
Online | 18 Oct 2013 |
01 Jun 2014 | |
Publication process dates | |
Deposited | 09 Jul 2018 |
Accepted | 27 Sep 2013 |
Output status | Published |
Digital Object Identifier (DOI) | https://doi.org/10.1080/18756891.2013.856257 |
Scopus EID | 2-s2.0-84900027466 |
Web of Science identifier | WOS:000336216400003 |
Language | English |
https://repository.mdx.ac.uk/item/87vq8
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