TRIZ – The Theory of Inventive Problem Solving 2017
DOI: 10.1007/978-3-319-56593-4_2
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Automated Extraction of Knowledge Useful to Populate Inventive Design Ontology from Patents

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Cited by 12 publications
(9 citation statements)
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“…Our work aims to find out similar problems from a large amount of different domains' patents in order to pick up creative solutions for the target problem. A patent extractor tool (Souili & Cavallucci, 2017) is used to extract problems, corresponding partial solutions, and parameters from patent corpus. Then, we compute the similarity between problems.…”
Section: Methodsmentioning
confidence: 99%
See 1 more Smart Citation
“…Our work aims to find out similar problems from a large amount of different domains' patents in order to pick up creative solutions for the target problem. A patent extractor tool (Souili & Cavallucci, 2017) is used to extract problems, corresponding partial solutions, and parameters from patent corpus. Then, we compute the similarity between problems.…”
Section: Methodsmentioning
confidence: 99%
“…It mixes the sentence vector relying on Word2vec neural networks (Mikolov et al, 2013) and cosine metric. We firstly use Patent Extractor (Souili & Cavallucci, 2017) to extract IDM-related knowledge including problems, partial solutions, and parameters from patent documents. Then Word2vec neural networks are used to achieve each word's vector for the given problem sentence.…”
Section: Introductionmentioning
confidence: 99%
“…To this end, they could apply an evaluation grid to select the most relevant concept [10]. Nevertheless, one of the criticisms often leveled is that this approach does not have the necessary agility, and it is time-consuming [16][17][18]. This is mainly due to the implicit research in each study to construct a complete map of a problem situation by interviewing experts involved in the study and extracting all their knowledge, regardless of how effective it is in solving the problem.…”
Section: Idm's Drawbacks and The Proposal To Solve Themmentioning
confidence: 99%
“…First of all, for clarification purposes, we discuss the tool for parameters extraction. This tool elaborated recently in our laboratory is based on linguistic and statistical approach which is suitable for information extraction out of unstructured data [10]. Our tool is described briefly in [37].…”
Section: Corpus Presentation and Extraction Toolmentioning
confidence: 99%
“…Despite the strength of TRIZ, the absence of formalized ontology that disables the possibility of performing the computation on abstract parameters, our laboratory elaborated the Inventive Design Method (IDM) in order to extend this limitation of the ground theory [10]. Based on TRIZ, IDM permits to easily perform the problem-solving process.…”
Section: Introductionmentioning
confidence: 99%