2014
DOI: 10.1016/j.procir.2014.02.061
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Innovation through Pertinent Patents Research based on Physical Phenomena Involved

Abstract: One can find innovative solutions to complex industrial problems by looking for knowledge in patents. Traditional search using keywords in databases of patents has been widely used. Currently, different computational methods that limit human intervention have been developed. We aim to define a method to improve the search for relevant patents in order to solve industrial problems and specifically to deduce evolution opportunities. The non-automatic, semi-automatic, and automatic search methods use keywords. Fo… Show more

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Cited by 9 publications
(7 citation statements)
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“…This paper complements our previous work detailing each stage of the proposed methodology (Valverde et al 2014). Particular focus is on the patent classification methods (discovery matrix) and patent analysis through evolution trends.…”
Section: Introductionmentioning
confidence: 87%
“…This paper complements our previous work detailing each stage of the proposed methodology (Valverde et al 2014). Particular focus is on the patent classification methods (discovery matrix) and patent analysis through evolution trends.…”
Section: Introductionmentioning
confidence: 87%
“…Through the efforts of some contemporary authors, Polovinkin's rules have been translated into English (Savransky 2000) accompanied by several examples and translated into French by Scaravetti (2004). We have directly translated certain passages from the original Russian texts (Valverde 2015).…”
Section: Polovinkin's Rulesmentioning
confidence: 99%
“…Pertinent recovered patents are classified into discovery matrices which can be exploited in timeline, allowing patent analysis in an evolutionary perspective (Valverde et al 2016b). This methodology was conceived in the IMC department (Valverde 2015), and brings together some aspects of the department's expertise and acquired knowledge. A brief description of this method is given in the next subsections.…”
Section: Selecting Analyzing and Classifying Pertinent Patents For mentioning
confidence: 99%
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