Conceptual Semantic Analysis of Patents and Scientific Publications Based on TRIZ Tools

Kaliteevskii, Vasilii; Deder, Arthur; Peric, Nemanja; Chechurin, Leonid

doi:10.1007/978-3-030-61295-5_5

Cited by 3 publications

(3 citation statements)

References 8 publications

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“…As a result authors derived one of the first published models of patents with a semantic classification. The related work to the present paper was conducted and described in [23]. In this paper the way the dataset of patents and scientific publications is collected and preprocessed is described.…”

Section: Related Workmentioning

confidence: 99%

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Concept Extraction Based on Semantic Models Using Big Amount of Patents and Scientific Publications Data

Kaliteevskii¹,

Deder²,

Peric³

et al. 2021

Creative Solutions for a Sustainable Development

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Formalisation of heuristic methods for supporting the conceptual design stage of product and technology development has been extensively evolved in industry during the last half of the century and gradually more formally appears in academic context nowadays. Due to the considerable interest from the Industry and the Academia, heuristic approaches such as TRIZ have been strongly developed over the past decades. Thus, TRIZ evolved from a set of empirical inventive principles into a considerably formal approach including techniques for modeling technical problems with the possibility of further overcoming them using formal methods. Moreover, during the last decades, TRIZ has been extensively digitized. Several generations of software have appeared that facilitate the use of inventive methods (Goldfire, Invention Machine). From the trend of digitalisation and the success of machine driven processes, it can be assumed that the further fate of invention methods and formal algorithms for overcoming non-trivial problems lies in the plane of Machine Learning and Artificial Intelligence approaches. The position of the authors is that the idea of automating inventions looks extremely attractive, although in the coming time, digital approaches will rather complement the intelligence of engineers and scientists, rather than replace it. Taking a certain preparatory step towards AI driven inventions, we present a semantic model that can form the basis of future approaches, at the same time, having already sufficient functionality to support the heuristic stage of technology. As part of this work, over 8 millions of patents and scientific publications have been analyzed to extract semantic concepts. A model was built based on Machine Learning methods and Natural Language Processing techniques with the following discussion and application examples.

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Section: Related Workmentioning

confidence: 99%

“…As in [23], in present research the dataset consists of patents documents scrapped from USPTO bulk archive and scientific publications from UK Core Collection [29,30]. The whole script is implemented via python language and deployed for graphical interface with the help of Django framework.…”

Section: Dataset and Semantic Preprocessing Stagesmentioning

confidence: 99%

Concept Extraction Based on Semantic Models Using Big Amount of Patents and Scientific Publications Data

Kaliteevskii¹,

Deder²,

Peric³

et al. 2021

Creative Solutions for a Sustainable Development

Self Cite

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“…For example, the phenomenon of using abbreviations on Instagram may not be viewed simply as an effort to send text-based messages using a social medium, but should be seen as a phenomenon in social interaction which is taking place due to some essential factors. The factors are related to the demand for efficiency, practicality in communication, both in terms of the writing and the reading (Kaliteevskii, Deder, Peric, & Chechurin, 2020).…”

Section: Introductionmentioning

confidence: 99%

Principles Behind Semantic Relation between Common Abbreviations and their Expansions on Instagram

Hasjim,

Arafah,

Kaharuddin

et al. 2022

Int. J. Criminol. Sociol.

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The phenomenon of abbreviation used on Instagram is an interesting thing since the users modify the abbreviation form of expansion words making deviation from the original meaning. The principle of meaning relation between abbreviations and their expansions is used to make a change to the purposes of Instagram users. This research was aimed to describe the principle of abbreviation used in Instagram. An exploitation method was used by the technique of making screenshots and recording the abbreviation data. The results of research indicate that the principle of abbreviation consists of three forms namely inclusion, contact, and complementary. The results of this research can be very effective in understanding as well as how to use abbreviations, especially on Instagram. The Novelty of the study is in investigating the abbreviation used in Instagram.

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Bringing Together Engineering Problems and Basic Science Knowledge, One Step Closer to Systematic Invention

Boufeloussen

Cavallucci

2021

Creative Solutions for a Sustainable Development

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Conceptual Semantic Analysis of Patents and Scientific Publications Based on TRIZ Tools

Cited by 3 publications

References 8 publications

Concept Extraction Based on Semantic Models Using Big Amount of Patents and Scientific Publications Data

Concept Extraction Based on Semantic Models Using Big Amount of Patents and Scientific Publications Data

Principles Behind Semantic Relation between Common Abbreviations and their Expansions on Instagram

Bringing Together Engineering Problems and Basic Science Knowledge, One Step Closer to Systematic Invention

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