M-tree: An Efficient Access Method for Similarity Search in Metric Spaces
VLDB '97 Proceedings of the 23rd International Conference on Very Large Data Bases
D-Index: Distance Searching Index for Metric Data Sets
Multimedia Tools and Applications
One torus to rule them all: multi-dimensional queries in P2P systems
Proceedings of the 7th International Workshop on the Web and Databases: colocated with ACM SIGMOD/PODS 2004
SWAM: a family of access methods for similarity-search in peer-to-peer data networks
Proceedings of the thirteenth ACM international conference on Information and knowledge management
MINERVA: collaborative P2P search
VLDB '05 Proceedings of the 31st international conference on Very large data bases
Similarity Search: The Metric Space Approach (Advances in Database Systems)
Similarity Search: The Metric Space Approach (Advances in Database Systems)
On scalability of the similarity search in the world of peers
InfoScale '06 Proceedings of the 1st international conference on Scalable information systems
Emerging semantic communities in peer web search
P2PIR '06 Proceedings of the international workshop on Information retrieval in peer-to-peer networks
Efficient peer-to-peer semantic overlay networks based on statistical language models
P2PIR '06 Proceedings of the international workshop on Information retrieval in peer-to-peer networks
| Hi-index | 0.00 |
In this paper we tackle the issues of exploiting the concepts of social networking in processing similarity queries in the environment of a P2P network. The processed similarity queries are laying the base on which the relationships among peers are created. Consequently, the communities encompassing similar data emerge in the network. The architecture of the presented metric social network is formally defined using the acquaintance and friendship relations. Two version of the navigation algorithm are presented and thoroughly experimentally evaluated. Finally, learning ability of the metric social network is presented and discussed.