Abstract
This chapter formulates our quality model based on the set of iq-criteria presented in Chapter 3, by assigning a quality vector to each source. To rank the sources based on these vectors, we solve the problems of scaling the iq-scores and finding and including a user weighting. Five general ranking methods are introduced, that find a complete or partial ordering among the sources, based on the scaled and weighted iq-scores. An analysis and evaluation of each of the methods with respect to our problem leads to a suggestion of the most suitable method.
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© 2002 Springer-Verlag Berlin Heidelberg
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(2002). Quality Ranking Methods. In: Naumann, F. (eds) Quality-Driven Query Answering for Integrated Information Systems. Lecture Notes in Computer Science, vol 2261. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-45921-9_4
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DOI: https://doi.org/10.1007/3-540-45921-9_4
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Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-43349-1
Online ISBN: 978-3-540-45921-7
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