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Erschienen in:
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2011 | OriginalPaper | Buchkapitel

Knowledge Extraction from Patent: Achievements and Open Problems. A Multidisciplinary Approach to Find Functions

verfasst von : D. Russo

Erschienen in: Global Product Development

Verlag: Springer Berlin Heidelberg

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Abstract

Patents are an increasingly important source of technological intelligence that companies can use to gain strategic advantage. Public databases, such as Espacenet, offer for free, available over the internet, some millions of documents with constant format and always updated. So, the answer to most of our technical questions depends on how we are able to extract crucial information from patent corpus and translate them into knowledge. A general overview on universal tools for knowledge management (bibliometric, text mining, semantic) is proposed, with the aim to highlight what problems have already been overcome and what still needs to be done, especially for TRIZ users who want to identify technical features in a text.

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Vorheriges Kapitel Computer-Aided Comparison of Thesauri Extracted from Complementary Patent Classes as a Means to Identify Relevant Field Parameters
Nächstes Kapitel Acquisition of Evolution Oriented Knowledge from Patent Texts
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Metadaten
Titel
Knowledge Extraction from Patent: Achievements and Open Problems. A Multidisciplinary Approach to Find Functions
verfasst von
D. Russo
Copyright-Jahr
2011
Verlag
Springer Berlin Heidelberg
Buch
Global Product Development

Print ISBN: 978-3-642-15972-5

Electronic ISBN: 978-3-642-15973-2

Copyright-Jahr: 2011

DOI
https://doi.org/10.1007/978-3-642-15973-2_57

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