Trust Management for Semantec Web

Author

Qiu, Jian-ping ; Chen, Li-Chao

Author_Institution

Inst. of Comput. Sci., Taiyuan Univ. of Sci. & Technol., Taiyuan

Volume

3

fYear

2008

fDate

12-14 Dec. 2008

Firstpage

778

Lastpage

781

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;

fLanguage

English

Publisher

ieee

Conference_Titel

Computer Science and Software Engineering, 2008 International Conference on

Conference_Location

Wuhan, Hubei

Print_ISBN

978-0-7695-3336-0

Type

conf

DOI

10.1109/CSSE.2008.617

Filename

4722458