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Title:
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TECHNICAL FUNCTION DISCOVERY IN PATENT DATABASES FOR GENERATING INNOVATIVE SOLUTIONS |
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Author(s):
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Dmitriy M. Korobkin, Sergey A. Fomenkov, Sergey G. Kolesnikov, Alexander B. Golovanchikov |
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ISBN:
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978-989-8533-54-8 |
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Editors:
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Piet Kommers and Guo Chao Peng |
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Year:
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2016 |
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Edition:
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Single |
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Keywords:
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Patent, context-sensitive grammar, parsing, link grammar, international patent classification, verb class |
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Type:
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Short Paper |
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First Page:
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241 |
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Last Page:
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245 |
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Language:
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English |
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Cover:
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Full Contents:
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click to dowload 
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Paper Abstract:
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Patents contain a large quantity of technical information that can be useful for new technical solutions design. The purpose of the research is to detect and extract information about the technical functions from text of several patents brought together in patent databases. Method is designed for informational support of solving creative problem of new technical decision synthesis. For technical functions extraction the natural language processing is performed. Ways of technical function implementations are represented by object-condition-action model. The extraneous syntactic parser is used for assigning of syntactic category to words from patent claims section. The context-sensitive grammar was developed for achieving compliance of parsed text words to object-condition-action model components. |
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