scholarly journals Research of Toponyms of the Irkutsk Region Using the Method of Artificial Intelligence

2021 ◽  
Vol 31 (3) ◽  
pp. 382-390
Author(s):  
Andrei Borovsky ◽  
Elena Rakovskaya
Keyword(s):  
Artificial Intelligence ◽  
Data Analysis ◽  
Information Technologies ◽  
Scientific Literature ◽  
Semantic Relations ◽  
Vector Representation ◽  
Text Data ◽  
Modern Language ◽  
Irkutsk Region ◽  
Local Topography

Essential issues of toponymy presuppose studying separate words to reconstruct the denotative meaning of geographical names that were lost in the modern language and to find out how the peculiarities of the local topography, the inhabitants’ activities, etc. are reflected in them. It is possible to solve this kind of problems using intellectual methods of data analysis on the basis of information technologies. However, in scientific literature on toponymy, such methods are practically ignored. The article is devoted to the study of the origin and semantic meanings of geographical names based on finding semantic associates and calculating the semantic similarity of words using the embedding model. According to the proposed method, the origin of some toponyms of the Irkutsk region was determined, their semantic relations were revealed. The dichotomy method was used for toponyms that have two roots in their structure. This made it possible to improve the operation of the model by clarifying the morphemic composition of the original word. The method of word transformation was used to determine the etymology of the toponym «Moscow». We have received new versions of the origin of the toponym. It is shown that the application of the methods based on distributive semantics and vector representation of words, obtained on the basis of large arrays of text data, significantly expands the possibilities of research in the field of determining the origin of toponyms and clarifying their meaning.

scholarly journals SEMANTIC MOTIVATION OF THE TERMINOLOGIZED LEXIS IN THE FIELD OF DIGITAL TECHNOLOGIES

2020 ◽  
pp. 031
Author(s):  
Vilija Celiešienė ◽  
Saulute Juzeleniene
Keyword(s):  
Information Technologies ◽  
Language Teaching ◽  
Digital Technologies ◽  
The Other ◽  
Semantic Relations ◽  
Common Language ◽  
Modern Language ◽  
New Meanings ◽  
Semantic Models ◽  
Similarities And Differences

Digital technologies are changing people’s lives, the way we communicate, learn and work. Modern language teaching technologies are changing the ways we learn languages as well. On the other hand, the language itself is changing as technology advances. The aim of this article is to reveal semantic motivation of terminologized Lithuanian and English computer lexis. The present research, focusing on semantic motivation of IT terms, is also aimed at identifying similarities and differences between the semantic models of the words in both contacting languages, and revealing the factors that determine the choice of foreign sememes. In addition, the article sheds some light on semantic relations of IT terms,  as well as on tendencies in the shifts of meanings of specific LT and EN common language words, related to the process of terminologization. It has been established that the majority of the analysed words that have entered the Lithuanian IT vocabulary as a result of terminization and transterminization processes can be considered semantic loan-translations, having acquired new meanings from foreign (usually English) words, and based on ‘borrowed’ motivation. Nonetheless, many such words can also be substantiated in Lithuanian, for their terminological meanings can be explained by central, nonterminological meanings. Thus, in the majority of cases, close associations between central meanings of specific English and Lithuanian words have stimulated the development of new terminological meanings related to information technologies. By contrast, only a relatively small number of the analysed Lithuanian terms can be considered semantic formations, having acquired their terminological meanings in the process of turning Lithuanian common language words into terms.

CONTENT OF TEACHING THE ELEMENTS OF ARTIFICIAL INTELLIGENCE IN A SCHOOL INFORMATICS COURSE

2020 ◽  
pp. 3-10
Author(s):  
I. V. Levchenko
Keyword(s):  
Artificial Intelligence ◽  
General Education ◽  
Extracurricular Activities ◽  
Information Technologies ◽  
Learning Experience ◽  
9Th Grade ◽  
Modern Information ◽  
Further Development ◽  
Form Variant ◽  
Theoretical Foundations

The article considers the feasibility of integrating artificial intelligence technologies into school education and identifies a problem in identifying didactic elements in the field of artificial intelligence, which must be mastered in a school informatics course. The purpose of the article is to propose variant of the content of teaching the elements of artificial intelligence for the general education of schoolchildren as part of the curricular and extracurricular activities in informatics. An analysis of the psychological, pedagogical and scientific-methodical literature in the field of artificial intelligence made it possible to identify the appropriateness of teaching schoolchildren the elements of artificial intelligence in the framework of a comprehensive informatics course, as the theoretical foundations of modern information technologies. Summarizing and systematizing the learning experience of schoolchildren in the field of artificial intelligence made it possible to form variant of the content of teaching the elements of artificial intelligence, which can be implemented in a compulsory informatics course for 9th grade, as well as in elective classes. The results of the study are the theoretical basis for the further development of the components of the methodological system of teaching the elements of artificial intelligence in a school informatics course. The research materials may be useful to specialists in the field of teaching informatics and to informatics teachers.

scholarly journals Artificial intelligence to detect unknown stimulants from scientific literature and media reports

Food Control ◽  
2021 ◽  
pp. 108360
Author(s):  
Anand K. Gavai ◽  
Yamine Bouzembrak ◽  
Leonieke M. van den Bulk ◽  
Ningjing Liu ◽  
Lennert F.D. van Overbeeke ◽  
...  
Keyword(s):  
Artificial Intelligence ◽  
Scientific Literature ◽  
Media Reports

How to survive in the age of artificial intelligence? Exploring the intelligent transformations of SMEs in central China

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Jinqiang Wang ◽  
Yaobin Lu ◽  
Si Fan ◽  
Peng Hu ◽  
Bin Wang
Keyword(s):  
Artificial Intelligence ◽  
Small And Medium Enterprises ◽  
Policy Support ◽  
Central China ◽  
Limited Resources ◽  
Text Data ◽  
Content Type ◽  
External Pressures ◽  
Medium Enterprises

PurposeThe purpose of the research is to explore how small and medium enterprises (SMEs) in central China achieve intelligent transformation through the use of artificial intelligence (AI). Because of unequal resource allocation, constraints on the intelligent transformation of SMEs in central China are different from those in economically and technologically well-developed coastal provinces. Hence, the authors focus on SMEs in central China to identify drivers of and barriers to intelligent transformation.Design/methodology/approachThe interview data were collected from 66 SMEs across 20 industries in central China. To verify the validity of the data collection method, the authors used two methods to control for retrospective bias: multi-level informants and enterprises' AI project application materials (Wei and Clegg, 2020). The final data were validated without conflicts. Next, the authors cautiously followed a two-step approach recommended by Venkatesh et al. (2010) and used NVivo 11.0 to analyze the collected text data.FindingsSMEs in central China are enthusiastic about intelligent transformation while facing both internal and external pressures. SMEs need to pay attention to both internal (enterprise development needs, implementation cost, human resources and top management involvement) and external factors (external market pressure, convenience of AI technology and policy support) and their different impacts on intelligent transformation. However, constrained by limited resources, SMEs in central China have been forced to take a step-by-step intelligent transformation strategy based on their actual needs with the technological flexibility method in the short term.Originality/valueConsidering the large number of SMEs and their importance in promoting China's economic development and job creation (SME Bureau of MIIT, 2020), more research on SMEs with limited resources is needed. In the study, the authors confirmed that enterprises should handle “social responsibility” carefully because over-emphasizing it will hinder intelligent transformation. However, firms should pay attention to the role of executives in promoting intelligent transformation and make full use of policy support to access more resources.

scholarly journals Economic and legal aspects of the innovative activity of enterprises in the context of the digital economy

2021 ◽  
Vol 34 (02) ◽  
pp. 964-972
Author(s):  
Olga Vladimirovna Markova ◽  
Ekaterina Yevgenievna Listopad ◽  
Aleksandr Vladimirovich Shelygov ◽  
Alexander Grigorievich Fedorov ◽  
Igor Valentinovich Kiselevich
Keyword(s):  
Artificial Intelligence ◽  
Internal Control ◽  
Information Technologies ◽  
Self Regulation ◽  
Legal Framework ◽  
Legal Aspects ◽  
Digital Economy ◽  
Innovative Activity ◽  
Control Measures ◽  
External Threats

The article deals with the economic and legal aspects of the innovative activity of enterprises in the context of the digital economy. The authors have established that the innovative activity of enterprises includes also the development of artificial intelligence and robotics and that in the current conditions when creating and using artificial intelligence technologies, the issue of ensuring national security in the digital environment becomes extremely important. In this case, the strategic goal of ensuring information security is to protect the vital interests of the individual and society against internal and external threats associated with the application of information technologies for various purposes contrary to civil law. It is proved that innovations will increase the investment attractiveness of the business, maintain a balance of creative freedom and internal control measures, self-regulation in the field of digital technologies, and develop a unified legal framework in the economic space.

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