Revision with unchanged content. Web-based information systems, such as search engines, news portals, electronic markets and community sites, provide access to information originating from numerous information providers. The quality of provided information varies as information providers have different levels of knowledge and different intentions. Users of web-based systems are therefore confronted with the increasingly difficult task to select high quality information from the vast amount of Web-accessible information. How can information systems support users to distinguish high quality from low quality information? Which filtering mechanisms can be applied? How can filtering decisions be explained to the user? The book gives an overview about information quality assessment in context of web-based systems. Afterwards, a quality-driven information filtering framework is developed. The framework allows information consumers to apply a wide range of different filtering policies. In order to facilitate the information consumers' understanding of filtering decisions, the framework generates explanations why information satisfies a specific policy. The book targets Web developers who need to handle information quality problems within their applications as well as researchers working on the topic.
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is a researcher at Freie Universität Berlin.His work focuses on questionsconcerning web-based information integrationsuch as information quality assessment,provenance tracking, and the representation of Web data. He initialized several open source software projects andcontributes to W3C standardization.
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Taschenbuch. Zustand: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Revision with unchanged content. Web-based information systems, such as search engines, news portals, elec tronic markets and community sites, provide access to information origi nating from numerous information providers. The quality of provided infor mation varies as information providers have different levels of knowledge and different intentions. Users of web-based systems are therefore confron ted with the increasingly difficult task to select high quality information from the vast amount of Web-accessible information. How can information sys tems support users to distinguish high quality from low quality information Which filtering mechanisms can be applied How can filtering decisions be explained to the user The book gives an overview about information quality assessment in context of web-based systems. Afterwards, a quality-driven information filtering framework is developed. The framework allows infor mation consumers to apply a wide range of different filtering policies. In order to facilitate the information consumers' understanding of filtering decisions, the framework generates explanations why information satisfies a specific policy. The book targets Web developers who need to handle infor mation quality problems within their applications as well as researchers wor king on the topic. 196 pp. Englisch. Bestandsnummer des Verkäufers 9783639449976
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Zustand: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Bizer Christianis a researcher at Freie Universitaet Berlin.His work focuses on questionsconcerning web-based information integrationsuch as information quality assessment,provenance tracking, and the representation of Web data. He i. Bestandsnummer des Verkäufers 4989194
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Taschenbuch. Zustand: Neu. Quality-Driven Information Filtering | In the Context of Web-Based Information Systems | Christian Bizer | Taschenbuch | 196 S. | Englisch | 2012 | AV Akademikerverlag | EAN 9783639449976 | Verantwortliche Person für die EU: BoD - Books on Demand, In de Tarpen 42, 22848 Norderstedt, info[at]bod[dot]de | Anbieter: preigu. Bestandsnummer des Verkäufers 106333760
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Taschenbuch. Zustand: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Revision with unchanged content. Web-based information systems, such as search engines, news portals, electronic markets and community sites, provide access to information originating from numerous information providers. The quality of provided information varies as information providers have different levels of knowledge and different intentions. Users of web-based systems are therefore confronted with the increasingly difficult task to select high quality information from the vast amount of Web-accessible information. How can information systems support users to distinguish high quality from low quality information Which filtering mechanisms can be applied How can filtering decisions be explained to the user The book gives an overview about information quality assessment in context of web-based systems. Afterwards, a quality-driven information filtering framework is developed. The framework allows information consumers to apply a wide range of different filtering policies. In order to facilitate the information consumers' understanding of filtering decisions, the framework generates explanations why information satisfies a specific policy. The book targets Web developers who need to handle information quality problems within their applications as well as researchers working on the topic.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 196 pp. Englisch. Bestandsnummer des Verkäufers 9783639449976
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Taschenbuch. Zustand: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Revision with unchanged content. Web-based information systems, such as search engines, news portals, elec tronic markets and community sites, provide access to information origi nating from numerous information providers. The quality of provided infor mation varies as information providers have different levels of knowledge and different intentions. Users of web-based systems are therefore confron ted with the increasingly difficult task to select high quality information from the vast amount of Web-accessible information. How can information sys tems support users to distinguish high quality from low quality information Which filtering mechanisms can be applied How can filtering decisions be explained to the user The book gives an overview about information quality assessment in context of web-based systems. Afterwards, a quality-driven information filtering framework is developed. The framework allows infor mation consumers to apply a wide range of different filtering policies. In order to facilitate the information consumers' understanding of filtering decisions, the framework generates explanations why information satisfies a specific policy. The book targets Web developers who need to handle infor mation quality problems within their applications as well as researchers wor king on the topic. Bestandsnummer des Verkäufers 9783639449976
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