Integrating Web Conceptual Modeling and Web Usage

Authors: Rosa Meo Pier Luca Lanzi Maristella Matera Roberto Esposito

Publish Date: 2004/8/22

Volume: , Issue: , Pages: 135-148

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Abstract

We present a case study about the application of the inductive database approach to the analysis of Web logs We consider rich XML Web logs – called conceptual logs – that are generated by Web applications designed with the WebML conceptual model and developed with the WebRatio CASE tool Conceptual logs integrate the usual information about user requests with metadata concerning the structure of the content and the hypertext of a Web application We apply a data mining language MINE RULE to conceptual logs in order to identify different types of patterns such as recurrent navigation paths most frequently visited page contents and anomalies eg intrusion attempts or harmful usages of resources We show that the exploitation of the nuggets of information embedded in the logs and of the specialized mining constructs provided by the query languages enables the rapid customization of the mining procedures following to the Web developers’ need Given our onfield experience we also suggest that the use of queries in advanced languages as opposed to adhoc heuristics eases the specification and the discovery of large spectrum of patterns

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