Pub Date : 2021-12-27DOI: 10.37614/2307-5252.2021.5.12.005
D. S. Suleimanov, A. Fridman, Rinat A. Gilmullin, B. Kulik
System analysis of the problem of modeling a natural language (NL) made it possible to formulate the root cause of the low efficiency of modern means for accumulating and processing knowledge in such languages. This is the complexity of intellectualization for such tools, which are created on the basis of primitive artificial programming languages that practically represent a subset of flectional analytical languages or artificial constructions based on them. To reduce the severity of the identified problem, it is proposed to build NL modeling systems on the basis of technological tools for verbalization and recognition of sense. These tools consist of semiotic models of NL lexical and grammatical means. This approach seems to be especially promising for agglutinative languages; it is supposed to be implemented on the example of the Tatar language.
{"title":"System analysis of the natural language modeling problem","authors":"D. S. Suleimanov, A. Fridman, Rinat A. Gilmullin, B. Kulik","doi":"10.37614/2307-5252.2021.5.12.005","DOIUrl":"https://doi.org/10.37614/2307-5252.2021.5.12.005","url":null,"abstract":"System analysis of the problem of modeling a natural language (NL) made it possible to formulate the root cause of the low efficiency of modern means for accumulating and processing knowledge in such languages. This is the complexity of intellectualization for such tools, which are created on the basis of primitive artificial programming languages that practically represent a subset of flectional analytical languages or artificial constructions based on them. To reduce the severity of the identified problem, it is proposed to build NL modeling systems on the basis of technological tools for verbalization and recognition of sense. These tools consist of semiotic models of NL lexical and grammatical means. This approach seems to be especially promising for agglutinative languages; it is supposed to be implemented on the example of the Tatar language.","PeriodicalId":438304,"journal":{"name":"Transaction Kola Science Centre","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130846166","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-12-27DOI: 10.37614/2307-5252.2021.5.12.002
P. Lomov, M. Malozemova
This paper is a continuation of the research focused on solving the problem of ontology population using training on an automatically generated training set and the subsequent use of a neural-network language model for analyzing texts in order to discover new concepts to add to the ontology. The article is devoted to the text data augmentation - increasing the size of the training set by modification of its samples. Along with this, a solution to the problem of clarifying concepts (i.e. adjusting their boundaries in sentences), which were found during the automatic formation of the training set, is considered. A brief overview of existing approaches to text data augmentation, as well as approaches to extracting so-called nested named entities (nested NER), is presented. A procedure is proposed for clarifying the boundaries of the discovered concepts of the training set and its augmentation for subsequent training a neural-network language model in order to identify new concepts of ontology in the domain texts. The results of the experimental evaluation of the trained model and the main directions of further research are considered.
{"title":"Training set augmentation in training neural- network language model for ontology population","authors":"P. Lomov, M. Malozemova","doi":"10.37614/2307-5252.2021.5.12.002","DOIUrl":"https://doi.org/10.37614/2307-5252.2021.5.12.002","url":null,"abstract":"This paper is a continuation of the research focused on solving the problem of ontology population using training on an automatically generated training set and the subsequent use of a neural-network language model for analyzing texts in order to discover new concepts to add to the ontology. The article is devoted to the text data augmentation - increasing the size of the training set by modification of its samples. Along with this, a solution to the problem of clarifying concepts (i.e. adjusting their boundaries in sentences), which were found during the automatic formation of the training set, is considered. A brief overview of existing approaches to text data augmentation, as well as approaches to extracting so-called nested named entities (nested NER), is presented. A procedure is proposed for clarifying the boundaries of the discovered concepts of the training set and its augmentation for subsequent training a neural-network language model in order to identify new concepts of ontology in the domain texts. The results of the experimental evaluation of the trained model and the main directions of further research are considered.","PeriodicalId":438304,"journal":{"name":"Transaction Kola Science Centre","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116445482","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-12-27DOI: 10.37614/2307-5252.2021.5.12.016
P. Lomov, M. Malozemova
The paper considers one of the subtasks of ontology learning - the ontology population, which implies the extension of existing ontology by new instances without changing the structure of its classes and relations. A brief overview of existing ontology learning approaches is presented. A highly automated technology for ontology population based on training and application of the neural-network language model to identify and extract potential instances of ontology classes from domain texts is proposed. The main stages of its application, as well as the results of its experimental evaluation and the main directions of its further improvement are considered.
{"title":"Technology of training a neural-network model for ontology population","authors":"P. Lomov, M. Malozemova","doi":"10.37614/2307-5252.2021.5.12.016","DOIUrl":"https://doi.org/10.37614/2307-5252.2021.5.12.016","url":null,"abstract":"The paper considers one of the subtasks of ontology learning - the ontology population, which implies the extension of existing ontology by new instances without changing the structure of its classes and relations. A brief overview of existing ontology learning approaches is presented. A highly automated technology for ontology population based on training and application of the neural-network language model to identify and extract potential instances of ontology classes from domain texts is proposed. The main stages of its application, as well as the results of its experimental evaluation and the main directions of its further improvement are considered.","PeriodicalId":438304,"journal":{"name":"Transaction Kola Science Centre","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125139535","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-12-27DOI: 10.37614/2307-5252.2021.5.12.013
S. Yakovlev, A. Shemyakin
The article discusses the main strategic documents related to the subject area. Particular attention is paid to analysis of hazards and risks, issues of technogenic and environmental safety, the prospects for digital technologies creation. Approaches to accounting for uncertainty and risk, and their management are also considered.
{"title":"Regulatory and legal framework for managing the development of the Northern Sea Route","authors":"S. Yakovlev, A. Shemyakin","doi":"10.37614/2307-5252.2021.5.12.013","DOIUrl":"https://doi.org/10.37614/2307-5252.2021.5.12.013","url":null,"abstract":"The article discusses the main strategic documents related to the subject area. Particular attention is paid to analysis of hazards and risks, issues of technogenic and environmental safety, the prospects for digital technologies creation. Approaches to accounting for uncertainty and risk, and their management are also considered.","PeriodicalId":438304,"journal":{"name":"Transaction Kola Science Centre","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125382797","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-12-27DOI: 10.37614/2307-5252.2021.5.12.012
A. Fridman
To advance from the internal approach to assessing effectiveness of a new system (based on a set of indicators that often are not sufficiently grounded) to the external, much more objective, approach, when this assessment is made based on the results of functioning a new system as part of a metasystem, it is proposed to supplement the emerging Internet of Things (IoT) with a new sector – the Internet of Models of Things (IoMoT), that is, to implement the transition from the IoT to the IoTaM (Internet of Things and Models). This will allow developers of new devices and systems to justify safety from inclusion in the existing environment by analyzing their relationships with previously specified components.
{"title":"Internet of models of things for situational analysis and forecasting dependent failures","authors":"A. Fridman","doi":"10.37614/2307-5252.2021.5.12.012","DOIUrl":"https://doi.org/10.37614/2307-5252.2021.5.12.012","url":null,"abstract":"To advance from the internal approach to assessing effectiveness of a new system (based on a set of indicators that often are not sufficiently grounded) to the external, much more objective, approach, when this assessment is made based on the results of functioning a new system as part of a metasystem, it is proposed to supplement the emerging Internet of Things (IoT) with a new sector – the Internet of Models of Things (IoMoT), that is, to implement the transition from the IoT to the IoTaM (Internet of Things and Models). This will allow developers of new devices and systems to justify safety from inclusion in the existing environment by analyzing their relationships with previously specified components.","PeriodicalId":438304,"journal":{"name":"Transaction Kola Science Centre","volume":"70 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127318128","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-12-13DOI: 10.37614/2307-5252.2021.2.5.026
A. A. Kolmakova, A. Baranchikov
Silica aerogels are low-density inorganic aerogels with a three-dimensional nanoporous structure. Due to the inherent properties of nanoporous materials, the possibility of using silica airgel is of great interest in various fields. To simplify the process and reduce costs, the use of atmospheric pressure drying (APD) is promising, the resulting materials are called xerogels. Silica xerogels based on methyltrimethoxysilane were synthesized using various alcohol solvents. The optimal combination of properties is possessed by a sample obtained using methanol as a solvent. The wetting angle of all xerogels was 158°, which characterizes the resulting material as superhydrophobic.
{"title":"Study of the influence of various solvents on the properties of hydrophobic silica xerogels","authors":"A. A. Kolmakova, A. Baranchikov","doi":"10.37614/2307-5252.2021.2.5.026","DOIUrl":"https://doi.org/10.37614/2307-5252.2021.2.5.026","url":null,"abstract":"Silica aerogels are low-density inorganic aerogels with a three-dimensional nanoporous structure. Due to the inherent properties of nanoporous materials, the possibility of using silica airgel is of great interest in various fields. To simplify the process and reduce costs, the use of atmospheric pressure drying (APD) is promising, the resulting materials are called xerogels. Silica xerogels based on methyltrimethoxysilane were synthesized using various alcohol solvents. The optimal combination of properties is possessed by a sample obtained using methanol as a solvent. The wetting angle of all xerogels was 158°, which characterizes the resulting material as superhydrophobic.","PeriodicalId":438304,"journal":{"name":"Transaction Kola Science Centre","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127074907","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-12-13DOI: 10.37614/2307-5252.2021.2.5.010
Yuriy O. Velyaev, D. Maiorov
The synthesis of silica was carried out by extraction from a silica-containing solution from the decomposition of nepheline using acetone and ethanol, followed by gelatinization of the organic phase. The structural and surface properties of the obtained sample of SiO2 were studied and the pH of the isoionic point of their surface was determined. It was found that the use of extraction does not have a destructive effect on the specific surface of the SiO2 xerogel and allows preserving its original microporous structure.
{"title":"Physico-chemical properties of silicon dioxides obtained by extraction from sulfuric acid solutions from acid decomposition of nepheline","authors":"Yuriy O. Velyaev, D. Maiorov","doi":"10.37614/2307-5252.2021.2.5.010","DOIUrl":"https://doi.org/10.37614/2307-5252.2021.2.5.010","url":null,"abstract":"The synthesis of silica was carried out by extraction from a silica-containing solution from the decomposition of nepheline using acetone and ethanol, followed by gelatinization of the organic phase. The structural and surface properties of the obtained sample of SiO2 were studied and the pH of the isoionic point of their surface was determined. It was found that the use of extraction does not have a destructive effect on the specific surface of the SiO2 xerogel and allows preserving its original microporous structure.","PeriodicalId":438304,"journal":{"name":"Transaction Kola Science Centre","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116547950","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-12-13DOI: 10.37614/2307-5252.2021.2.5.058
K. A. Yakovlev, D. V. Mayorov
Synthesis of ammonium aluminium carbonate hydroxide NH4AlCO3(OH)2 from hydrated alumina received by ammonization of ammonia alums NH4Al(SO4)2·12H2O was studied. It was found the synthesis of NH4AlCO3(OH)2 occurs without the formation of intermediate phases.
{"title":"Study of phase formation in heterogeneous synthesis of aluminum-ammonium hydroxocarbonate","authors":"K. A. Yakovlev, D. V. Mayorov","doi":"10.37614/2307-5252.2021.2.5.058","DOIUrl":"https://doi.org/10.37614/2307-5252.2021.2.5.058","url":null,"abstract":"Synthesis of ammonium aluminium carbonate hydroxide NH4AlCO3(OH)2 from hydrated alumina received by ammonization of ammonia alums NH4Al(SO4)2·12H2O was studied. It was found the synthesis of NH4AlCO3(OH)2 occurs without the formation of intermediate phases.","PeriodicalId":438304,"journal":{"name":"Transaction Kola Science Centre","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117094393","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-12-13DOI: 10.37614/2307-5252.2021.2.5.011
Yuriy O. Velyaev, D. Maiorov, I. Kometiani
The results of studies on the production of silicon and aluminum-silicon aerogels from nepheline are presented. The morphology of the obtained samples was studied. Their chemical purity was proved by the method of X-ray elemental analysis. The structural and surface properties of the resulting aerogel are presented, such as: specific surface area (843.62 и 503.99 m2/g) and pore volume (0.396 и 0.237 cm3/g), average pore size (1.870 nm). Data on the skeletal density of the obtained samples are given
{"title":"Preparation of silicon and alumosilicic aerogels based on the decomposition of nepheline with an alcoholic solution of sulfuric acid","authors":"Yuriy O. Velyaev, D. Maiorov, I. Kometiani","doi":"10.37614/2307-5252.2021.2.5.011","DOIUrl":"https://doi.org/10.37614/2307-5252.2021.2.5.011","url":null,"abstract":"The results of studies on the production of silicon and aluminum-silicon aerogels from nepheline are presented. The morphology of the obtained samples was studied. Their chemical purity was proved by the method of X-ray elemental analysis. The structural and surface properties of the resulting aerogel are presented, such as: specific surface area (843.62 и 503.99 m2/g) and pore volume (0.396 и 0.237 cm3/g), average pore size (1.870 nm). Data on the skeletal density of the obtained samples are given","PeriodicalId":438304,"journal":{"name":"Transaction Kola Science Centre","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128435626","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-12-13DOI: 10.37614/2307-5252.2021.2.5.055
S. Shevtsov, I. Kovalev, A. Chernyavskii
Based on the results of the work performed, the nature of the phase distribution in the resulting material, structural and morphological differences between the layered metal-ceramic and ceramic structures were established. The temperature range of zirconium nitride synthesis from 1500 to 2400° C is investigated, and the possibility of successful synthesis of nitride ceramics by the indicated method at temperatures significantly exceeding the melting point of the metal is shown.
{"title":"High-temperature nitridization of zirconium, production of ceramic and metal-ceramic refractory structures","authors":"S. Shevtsov, I. Kovalev, A. Chernyavskii","doi":"10.37614/2307-5252.2021.2.5.055","DOIUrl":"https://doi.org/10.37614/2307-5252.2021.2.5.055","url":null,"abstract":"Based on the results of the work performed, the nature of the phase distribution in the resulting material, structural and morphological differences between the layered metal-ceramic and ceramic structures were established. The temperature range of zirconium nitride synthesis from 1500 to 2400° C is investigated, and the possibility of successful synthesis of nitride ceramics by the indicated method at temperatures significantly exceeding the melting point of the metal is shown.","PeriodicalId":438304,"journal":{"name":"Transaction Kola Science Centre","volume":"40 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130157060","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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