From the considerations made in the previous chapters, it emerges that the design of the complex Web information system must consider in a separate way two most important aspects of Web application: on one hand, the definition of the business processes, and on the other hand, to identify an optimal way to define what information is remarkable and how to present this information to the final user.
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.
A Review of Data Cleaning Methods for Web Information System
