WIM: an information mining model for the Web

This paper presents an extended abstract of a model to mine information in applications involving Web and graph analysis, referred to as WIM (Web information mining) Model. We demonstrate the model characteristics using a Web warehouse, 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 directly obtained from Web pages and links, as the title of a Web page or the start and end pages of a link. Logical objects can be created by performing predefined operations on any existing object. WIM has a concise set of eleven operators. In this paper we summarizes the model components and give examples of views. A view is a sequence of operations on objects, and it represents a way to mine information in the graph.