Quality-Driven Information Filtering- In the Context of Web-Based Information Systems

Web-based information systems such as search engines news portals electronicmarkets and community sites provide access to information originatingfrom numerous information providers. The quality of provided informationvaries as information providers have different levels of knowledge anddifferent intentions. Users of web-based systems are therefore confrontedwith the increasingly difficult task to select high quality information from thevast amount of Web-accessible information. How can information systemssupport users to distinguish high quality from low quality information?Which filtering mechanisms can be applied? How can filtering decisions beexplained to the user? The book gives an overview about information qualityassessment in context of web-based systems. Afterwards a quality-driveninformation filtering framework is developed. The framework allows informationconsumers to apply a wide range of different filtering policies. Inorder to facilitate the information consumers' understanding of filteringdecisions the framework generates explanations why information satisfies aspecific policy. The book targets Web developers who need to handle informationquality problems within their applications as well as researchers workingon the topic.