Group Assessment of Web Source/Information Quality Based on WebQM and Fuzzy Logic
Web sources are open,dynamic,and autonomous.They contain a great deal of incomplete,imprecise,and unqualified information.These issues result in unacceptable Web source quality.Evaluating and selecting high quality Web source/information is a key for the success of Web-based applications.In this paper,Web quality is modeled by using a Web quality model,WebQM.Fuzzy TOPSIS (FTOPSIS) is applied to evaluate and screen Web sources for advanced Web applications,such as data warehousing,OLAP,and data mining.In addition,an expert-average group evaluation strategy is combined with FTOPSIS to obtain more objective and more precise results.To illustrate our evaluation process,an example is discussed.
Web source/information quality assessment WebQM fuzzy TOP-SIS group evaluation
Yan Zhu
School of Information Science and Technology Southwest Jiaotong University Chengdu 610031,P.R.China
国际会议
成都
英文
660-667
2008-05-17（万方平台首次上网日期，不代表论文的发表时间）