High Performance Environment For
Knowledge Discovering In
Portuguese Language Texts In The Web
Author(s)
V. M. Bastos & N. F. F. Ebecken
Abstract
This paper describes the development and implementation of a practical and
efficient methodology to construct a knowledge extraction environment that
contemplates the search of information from Portuguese language Web sites. The
application includes some text mining facilities, such as similarity and difference
identification between pages and sites, content classification and document
clustering.
The application conception has its origin on the evaluation environment of
competitive intelligence tasks over the Web. The increasing availability of
information in the Web has motivated the proposal of an environment that
presents the solutions in an integrated form, supplying results analysis according
to the user indication.
Keywords Web mining, business applications, knowledge discovering.
1 Introduction
With the increasing availability of information on the Web, the identification and
discovery involved in finding useful information became an onerous task that
consumes much time. The search for information with added value in great
masses of data has become reality. It has become increasingly necessary to have
an automatic tool that evaluates this content, bringing to the attention of the
consultants, the information, or, the isolated document classification or even
though the strategic knowledge of basic importance for decision making.
Text mining tools permit information extraction, which must be
understandable, as accurate as possible and surprising. It is possible to
understand the information through the knowledge presentation in the form of
Keywords
Web mining, business applications, knowledge discovering.
Related Book
Other papers in this volume
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