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Title:
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PATENT DATA ANALYSIS SYSTEM FOR INFORMATION EXTRACTION TASKS |
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Author(s):
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Dmitriy M. Korobkin, Sergey ?. Fomenkov, Alla G. Kravets, Alexander B. Golovanchikov |
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ISBN:
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978-989-8533-56-2 |
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Editors:
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Hans Weghorn |
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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; statistical methods of patent database analysis; LDA; context-sensitive grammar; object-condition-action; morphological table |
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Type:
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Short Paper |
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First Page:
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215 |
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Last Page:
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219 |
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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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Paper describes software designed to extracting structured information from patent data for support of solving creative problem of new technical solution synthesis. The paper considers different variants of statistical analysis of patent databases and description a process of effectiveness evaluation of statistical methods of patent database analysis based on LDA method. Ways of technical function implementations extracted from patents are represented by object-condition-action model. A context-sensitive grammar was developed for achieving compliance of parsed text words to object-condition-action model components. |
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