Introducing social aspects to search in peer-to-peer networks

被引：0
|
作者：
Schenk, S [1 ]
机构：
[1] FH NORDAKADMIE, D-25337 Elmshorn, Germany
来源：
PROFESSIONAL KNOWLEDGE MANAGEMENT | 2005年 / 3782卷
关键词：
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
Searching social networks is determined by two factors: reputation and relevance. Reputation is the memory and summary of behavior from past transactions. Relevance is the probability that useful information can be obtained from a person. Search in social networks is performed by asking persons of high relevance and a good reputation or persons who are supposed to know somebody like that. We describe how these social aspects can be used in peer-to-peer networks in order to increase efficiency and scalability. Based on a social peer-to-peer network a knowledge management application with advantages over centralized approaches can be implemented.
引用
收藏
页码：234 / 242
页数：9
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