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The Web has become a fertile ground for numerous research activities in mining. In this chapter, we discuss research on finding targeted information on the Web. First, we briefly survey the research area. We focus in particular on two key issues: (a) mining to impose structures over Web data, by building taxonomies and portals for example, to aid in Web navigation, and (b) mining to build information...
Everyday, popular Websites attract millions of visitors. These visitors leave behind vast amounts of Websites traversal information in the form of Web server and query logs. By analyzing these logs, it is possible to discover various kinds of knowledge, which can be applied to improve the performance of Web services. A particularly useful kind of knowledge is knowledge that can be immediately applied...
Web robots are software programs that automatically traverse the hyperlink structure of the World Wide Web in order to locate and retrieve information. There are many reasons why it is important to identify visits by Web robots and distinguish them from other users. First of all, e-commerce retailers are particularly concerned about the unauthorized deployment of robots for gathering business intelligence...
The importance of domain ontologies is widely recognized, particularly in relationship to the expected advent of the so-called Semantic Web. An ontology is an infrastructure able to provide a precise account of the concepts characterizing a given application domain. It represents a shared understanding of a given reality, thus fostering better communication and cooperation among users, and interoperability...
Browsing unstructured Web texts using Formal Concept Analysis (FCA) confronts two problems. Firstly, online Web data is sometimes unstructured and any FCA system must include additional mechanisms to discover the structure of input sources. Secondly, many online collections are large and dynamic, so a Web robot must be used to automatically extract data when it is required. These issues are addressed...
This chapter tackles the problem of knowledge discovery in text collections and the dynamic display of the discovered knowledge. We claim that these two problems are deeply interleaved, and should be considered together. The contribution of this chapter is fourfold: (1) the description of the properties needed for a high-level representation of concept relations in text; (2) a stochastic measure for...
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