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| Content Provider | Springer Nature Link |
|---|---|
| Author | Tan, Yi Hong Lü, Kevin Lin, Ya Ping |
| Copyright Year | 2012 |
| Abstract | A super-peer semantic network defines the semantic groups that client peers and their super peers use to connect with each other according to the semantic similarity of shared documents in peers. This will result in a query that can be evaluated locally thus reducing query process time and the amount of communication required to obtain related data. In this study, new algorithms are proposed to arrange shared documents in peers into hierarchical cluster tree structures, and links will be set up to connect semantically related super peers. During query evaluation, only related peers will be searched thus the complexity of computing is significantly reduced. Consideration is also given to automatically deciding the threshold for clustering and the construction and other essential operations for hierarchical cluster trees. The experiment results illustrate the features of the approach developed in this study. |
| Starting Page | 292 |
| Ending Page | 308 |
| Page Count | 17 |
| File Format | |
| ISSN | 19366442 |
| Journal | Peer-to-Peer Networking and Applications |
| Volume Number | 5 |
| Issue Number | 3 |
| e-ISSN | 19366450 |
| Language | English |
| Publisher | Springer US |
| Publisher Date | 2012-02-25 |
| Publisher Place | Boston |
| Access Restriction | One Nation One Subscription (ONOS) |
| Subject Keyword | Super-peer network Organising shared documents Hierarchical cluster Hierarchical cluster tree Computer Communication Networks Signal, Image and Speech Processing Information Systems and Communication Service Communications Engineering, Networks |
| Content Type | Text |
| Resource Type | Article |
| Subject | Computer Networks and Communications Software |
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