A Dynamically Adaptive Semantic-Driven Model for Efficiently Managing and Retrieving Resources in Large Scale P2P Networks
- When?
- Friday 10 December 2010, 15:30 to 16:30
- Where?
- 39BB02
- Open to:
- Staff, Students
- Speaker:
- Miss Athena Eftychiou
To build a scalable, robust and accurate P2P network, the network must be able to manage efficiently large amounts of information. Thus, a critical challenge in P2P networks is to collectively transform resources to a repository of semantic knowledge to accurately and efficiently discover resources.
This research proposes a semantic-driven model where the network topology is adaptively shaped, based on the peers’ semantic knowledge and the association between network size, peer connectivity and frequency of requested concepts. The proposed architecture follows a two-layer approach where the upper layer forms the semantic knowledge of the network through super-peers, and the lower layer of peers represents the network resources. The network knowledge is formally represented by a domain specific ontology using collective intelligence techniques. During the resource discovery process the query is intelligently routed in the semantic layer via ontology supported decisions; achieving in this way higher query success and reduced network traffic. The proposed model has been experimentally evaluated and results show the semantic-driven network outperforms existing P2P networks.