DocumentCode :
507062
Title :
Assuring Information Quality for Designing a Web Service-Based Disaster Management System
Author :
Su, Ying ; Li, Xia ; Jin, Zhanming
Author_Institution :
Center for Resource Sharing Promotion, Inst. of Sci. & Tech. Inf., Beijing, China
Volume :
4
fYear :
2009
fDate :
14-16 Aug. 2009
Firstpage :
540
Lastpage :
544
Abstract :
This paper aims to describe development of a web-based spatial data sharing platform for disaster management. Alongside functionality, information quality (IQ) is basic to successful sharing of distributed geo-services. In this article, we present a web service-based architecture in the context of disaster management by introducing an IQ broker module between service clients and providers (servers). The functions of the IQ broker module include assessing IQ about servers, making selection decisions for clients, and negotiating with servers to get IQ agreements. We study a quality of service (QoS) model aimed at measuring the information quality of Web services used by IQ brokers acting as the front-end of servers. This methodology is composed of two main components, a QoS model to analyze the information quality of Web services and a fuzzy computing to generate the linguistic recommendations.
Keywords :
Web services; disasters; linguistics; quality of service; software architecture; IQ broker module; Web service; Web-based spatial data sharing platform; disaster management system; distributed geo-services; fuzzy computing; information quality; linguistic recommendations; quality of service model; Conference management; Context-aware services; Disaster management; Fuzzy systems; Information analysis; Network servers; Quality of service; Resource management; Service oriented architecture; Web services; disaster management; fuzzy computing; information quality; quality of service (QoS); web service;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Fuzzy Systems and Knowledge Discovery, 2009. FSKD '09. Sixth International Conference on
Conference_Location :
Tianjin
Print_ISBN :
978-0-7695-3735-1
Type :
conf
DOI :
10.1109/FSKD.2009.841
Filename :
5359235
Link To Document :
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