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A Knowledge-Based Web Information System for the Fusion of Distributed Classifers
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Author(s): Grigorios Tsoumakas (Aristotle University of Thessaloniki, Greece), Nick Bassiliades (Aristotle University of Thessaloniki, Greece)and Ioannis Vlahavas (Aristotle University of Thessaloniki, Greece)
Copyright: 2004
Pages: 37
Source title:
Web Information Systems
Source Author(s)/Editor(s): David Taniar (Monash University, Australia)and Johanna Wenny Rahayu (La Trobe University, Australia)
DOI: 10.4018/978-1-59140-208-4.ch008
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Abstract
This chapter presents the design and development of WebDisC, a knowledge-based web information system for the fusion of classifiers induced at geographically distributed databases. The main features of our system are: (i) a declarative rule language for classifier selection that allows the combination of syntactically heterogeneous distributed classifiers; (ii) a variety of standard methods for fusing the output of distributed classifiers; (iii) a new approach for clustering classifiers in order to deal with the semantic heterogeneity of distributed classifiers, detect their interesting similarities and differences, and enhance their fusion; and (iv) an architecture based on the Web services paradigm that utilizes the open and scalable standards of XML and SOAP.
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