Subject–action–object-based morphology analysis for determining the direction of technological change

Guo, Junfang; Wang, Xuefeng; Li, Qianrui; Zhu, Ding

doi:10.1016/j.techfore.2016.01.028

Cited by 70 publications

(23 citation statements)

References 17 publications

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“…Various systems (Choi, 2011, Guo, 2016, Wang, 2015, Yang, 2017 are known for processing English-language patents, including the use of the SAO formalism to extract various concepts. In (Yang, 2017), a tree syntax analysis was applied with a separate identification of the subject, the action and the object to improve the quality of parsing.…”

Section: Research Backgroundmentioning

confidence: 99%

Extraction of Structural Elements of Inventions From Russian-Language Patents

Korobkin¹,

Vasiliev²,

Fomenkov³

et al. 2019

Proceedings of the International Conferences Big Data Analytics, Data Mining and Computational Intelligence 2019; And Theory An

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The paper investigates the issue of extracting structured data from Russian-language patents in the field of new technical solution synthesis. The predicate-argument constructions that characterize the composition of the structural elements of the inventions and the relations between them are the extracted entities. The paper also analyses existing natural language processing tools as applied to patent processing. The authors have offered a new method for extracting predicate-argument constructs taking into account the specificity of the text of patents based on shallow parsing and segmentation of sentences. The value of the F1 metric with a rigorous and lax evaluation of data extraction is 63% and 79%, respectively, which suggests that the proposed approach is promising. The extracted structures are used to construct the graph of the structural elements of the invention.

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Section: Research Backgroundmentioning

confidence: 99%

Extraction of Structural Elements of Inventions From Russian-Language Patents

Korobkin¹,

Vasiliev²,

Fomenkov³

et al. 2019

Proceedings of the International Conferences Big Data Analytics, Data Mining and Computational Intelligence 2019; And Theory An

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show abstract

“…Traditional keyword-based approaches ignore the role verbs play in the analysis of technological documents and deliver an understanding of technology information that is too shallow (Liu and Singh 2004;Choi et al 2011;J. Guo et al 2016).…”

Section: Sao Analysismentioning

confidence: 99%

“…It represents progressive (sometimes explosive) developments for industries (Zhang et al 2014a), and for this reason engineers and scientists focus on the identification of technological components for a technology of interest (Porter and Cunningham 2004). Technological components can also serve as the basis for further research (e.g., technological forecasting (Zhu and Porter 2002;J. Guo et al 2016), identify technology opportunities (B.…”

Section: Introductionmentioning

confidence: 99%

Requirement-oriented core technological components’ identification based on SAO analysis

et al. 2017

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Technologies play an important role in the survival and development of enterprises. Understanding and monitoring the core technological components (e.g., technology process, operation method, function) of a technology is an important issue for researchers to develop R&D policy and manage product competitiveness. However, it is difficult to identify core technological components from a mass of terms, and we may experience some difficulties with describing complete technical details and understanding the terms-based results. This paper proposes a Subject-Action-Object (SAO)-based method, in which (1) a syntax-based approach is constructed to extract the SAO structures describing the function, relationship and operation in specified topics; (2) a systematic method is built to extract and screen technological components from SAOs; and (3) we propose a "relevance indicator" to calculate the relevance of the technological components to requirements, and finally identify core technological components based on this indicator. Based on the considerations for requirements and novelty, the core technological components identified have great market potential and can be useful in monitoring and forecasting new technologies. An empirical study of graphene is performed to demonstrate the proposed method. The resulting knowledge may hold interest for R&D management and corporate technology strategies in practice.

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“…Therefore, it can be less easy or less repeatable to use than quantitative methods more statistically accurate, as some of the works cited in the introduction or in the proposed methodology (e.g. Guo et al 2016;Wang et al 2017). The analysis of the system requires a deep comprehension and a state of the art revision for determining components, their functions or role and the bottlenecks in the system.…”

Section: Discussionmentioning

confidence: 99%

“…As in , the components of a technology are listed without a hierarchy among them or interdependencies and thus losing a key dimensional feature in evolutionary analysis. Guo et al (2016) goes further into the morphology analysis combined with the SAO analysis to enhance the former. This research uses the Stanford parser for extracting SAOs, based on the frequency.…”

Section: Is It An Original Approach the Use Of Techmining And Semantimentioning

confidence: 99%

The combination of the disciplines of Techmining and semantic TRIZ for better and faster analyzing technology evolution

Vicente-Gomila¹,

Miguel²

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Subject–action–object-based morphology analysis for determining the direction of technological change

Cited by 70 publications

References 17 publications

Extraction of Structural Elements of Inventions From Russian-Language Patents

Extraction of Structural Elements of Inventions From Russian-Language Patents

Requirement-oriented core technological components’ identification based on SAO analysis

The combination of the disciplines of Techmining and semantic TRIZ for better and faster analyzing technology evolution

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