Title :
Trust Management for Semantec Web
Author :
Qiu, Jian-ping ; Chen, Li-Chao
Author_Institution :
Inst. of Comput. Sci., Taiyuan Univ. of Sci. & Technol., Taiyuan
Abstract :
Trust is very important to semantic Web. We propose a trust model of semantic Web by using classic linear regression models, time series models and vector auto regression generalized autoregressive conditional heteroskedasticity models. First, we discuss the background and related work about trust in semantic Web. Then the management of uncertainty is analyzed. At last, we give the prediction algorithm of trust for semantic Web.
Keywords :
autoregressive processes; regression analysis; security of data; semantic Web; time series; generalized autoregressive conditional heteroskedasticity; linear regression model; semantic Web; time series model; trust management; vector autoregression model; Computer science; Conference management; Linear regression; Quality of service; Semantic Web; Social network services; Software engineering; Technology management; Vectors; Web services; Classic linear regression models; Semantic Web of trust; time series analysis; vector auto regression generalized autoregressive conditional heteroskedasticity;
Conference_Titel :
Computer Science and Software Engineering, 2008 International Conference on
Conference_Location :
Wuhan, Hubei
Print_ISBN :
978-0-7695-3336-0
DOI :
10.1109/CSSE.2008.617