Computational System For The
Textual Processing Of Industrial Patents
Author(s)
G. M. Caputo & N. F. F. Ebecken
Abstract
This work presents a study related to the application of text mining methods in
Brazilian industrial patents (INPI databases) as a tool of competitive profit for
companies supplying technology. The main objective is to discover, using
patents abstracts analysis, the main developers’ companies in all technological
areas, helping in the competitors’ identification. The patent mining is capable of
discovering, through the research aiming perception, new industrial trends
helping to create strategies that anticipate the demand and to get a competitive
profit through technological innovations.
Keywords: text mining, patent analyses, competitive intelligence.
1 Introduction
Innovation is perhaps one of the main subjects interest for the majority
companies that desire to keep updated in the current market. To innovate
demands to know the competitions strategies, main producing and the
consumers’ real necessities, the technological trends knowledge that anticipates
the demand and the market [1]. To reach such level, Competitive Intelligence
(CI) techniques are used. CI provides organizations evolution and competitive
advantage utilizing computational techniques and qualified professional. These
techniques can understand involved sectors and assist in decision making.
From this dispute for innovations and organization copyright protection,
constantly, new products are invented, new ideas appear and so that the
industrial property law on the product or idea is preserved, new patents are
deposited.
These industrial patents have the products details, so an analysis detailed on
these patents, make possible visualize the technological trends and understand
Keywords
text mining, patent analyses, competitive intelligence.
Related Book
Other papers in this volume
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