WIM : an information mining model for the web.

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2005
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This paper presents a model to mine information in ap-plications involving Web and graph analysis, referred to as WIM – Web Information Mining – model. We demonstrate the model characteristics using a Web warehouse. The Web data in the warehouse is modeled as a graph, where nodes represent Web pages and edges represent hyperlinks. In the model, objects are always sets of nodes and belong to one class. We have physical objects containing attributes di-rectly obtained from Web pages and links, as the title of a Web page or the start and end pages of a link. Logical ob-jects can be created by performing predefined operations on any existing object. In this paper we present the model components, propose a set of eleven operators and give ex-amples of views. A view is a sequence of operations on objects, and it represents a way to mine information in the graph. As practical examples, we present views for cluster-ing nodes and for identifying related item sets.
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YATES, R. B.; PEREIRA JÚNIOR, A. R.; ZIVIANI, N. WIM : an information mining model for the web. In. Third Latin American Web Congress, 3. 2005. Buenos Aires. Anais... Buenos Aires: Latin American Web Congress, 2005. Disponível em: <http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.92.3335&rep=rep1&type=pdf>. Acesso em 18 out. 2012.