TY - GEN
T1 - Distributed multimedia information retrieval manner based on the statistic information with privacy
AU - Tsuchiya, Takeshi
AU - Yoshinaga, Hirokazu
AU - Koyanagi, Keiichi
PY - 2009/12/1
Y1 - 2009/12/1
N2 - We propose and clarify the manner in which a distributed information retrieval (IR) is conducted using a Peer-to-Peer (P2P) technology that has approximately the same accuracy as a current index-integrated search engine with the statistical information calculated from the contents We need to solve the following problems to develop distributed IR services for distributed objects in peers without indices centralized servers. The first issue is efficient IR strategies that are highly accurate services by using the statistic information for indices using the collaboration among distributed peers (nodes). The second issue is the prevent strategy from flow of object information icluded personal information and shared information in groups to unknown peers as the result of IR service. We discuss the generating the statistics information and the scalability of service by using simulations and emulations. The dynamic privacy derivation manner of objects is generated based on the information entropy from catchwords. Our proposed stategy is required and suitable for P2P based peer services.
AB - We propose and clarify the manner in which a distributed information retrieval (IR) is conducted using a Peer-to-Peer (P2P) technology that has approximately the same accuracy as a current index-integrated search engine with the statistical information calculated from the contents We need to solve the following problems to develop distributed IR services for distributed objects in peers without indices centralized servers. The first issue is efficient IR strategies that are highly accurate services by using the statistic information for indices using the collaboration among distributed peers (nodes). The second issue is the prevent strategy from flow of object information icluded personal information and shared information in groups to unknown peers as the result of IR service. We discuss the generating the statistics information and the scalability of service by using simulations and emulations. The dynamic privacy derivation manner of objects is generated based on the information entropy from catchwords. Our proposed stategy is required and suitable for P2P based peer services.
UR - http://www.scopus.com/inward/record.url?scp=73449114949&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=73449114949&partnerID=8YFLogxK
U2 - 10.1109/ICSC.2009.38
DO - 10.1109/ICSC.2009.38
M3 - Conference contribution
AN - SCOPUS:73449114949
SN - 9780769538006
T3 - ICSC 2009 - 2009 IEEE International Conference on Semantic Computing
SP - 642
EP - 647
BT - ICSC 2009 - 2009 IEEE International Conference on Semantic Computing
T2 - ICSC 2009 - 2009 IEEE International Conference on Semantic Computing
Y2 - 14 September 2009 through 16 September 2009
ER -