ISSN 1991-2927
 

ACP № 4 (58) 2019

Author: "Vadim Sergeevich Moshkin"

Eduard Dmitrievich Pavlygin, Federal Research-and-Production Center Joint Stock Company ‘Research-and-Production Association ‘Mars’, Candidate of Science in Engineering; graduated from the Radioengineering Faculty of Ulyanovsk Polytechnic Institute; First Deputy of Director General in Scientific Affairs and Innovations of Federal Research-and-Production Center Joint Stock Company ‘Research-and-Production Association ‘Mars’; an author of articles in the field of statistical methods of signal processing. [e-mail: mars@mv.ru]E. Pavlygin,

Anatolii Gennadievich Podloboshnikov, Federal Research-and-Production Center Joint Stock Company ‘Research-and-Production Association ‘Mars’, graduated from the Faculty of Information Systems and Technologies of Ulyanovsk State Technical University; Head of the Research Laboratory and Chief Designer at FRPC JSC ‘RPA ‘Mars’; research interests are in the field of special-purpose information system. e-mail: mars@mv.ruA. Podloboshnikov,

Ruslan Anatolevich Savinov, Federal Research-and-Production Center Joint Stock Company ‘Research-and-Production Association ‘Mars’, graduated from the Machine-building Faculty of UlSTU; Software Engineer at FRPC JSC ‘RPA ‘Mars’. research interests are in the field of special-purpose information system. [e-mail: mars@mv.ru]R. Savinov,

Nadezhda Glebovna Yarushkina, Ulyanovsk State Technical University, Doctor of Science in Engineering, Professor; graduated from Ulyanovsk Polytechnic Institute; First Vice-Rector, Vice-Rector in Scientific Affairs in UlSTU, Head of the Department of Information Systems at UlSTU; an author of more than 300 publications in the field of soft computing, fuzzy logic, and hybrid systems. [e-mail: jng@ulstu.ru]N. Yarushkina,

Aleksei Mikhailovich Namestnikov, Ulyanovsk State Technical University, Doctor of Science in Engineering, Associate Professor; graduated from the Radioengineering Faculty of UlSTU; an author of more than 80 publications in the field of computer-aided design and intelligent systems.[e-mail: nam@ulstu.ru]A. Namestnikov,

Aleksei Aleksandrovich Filippov, Ulyanovsk State Technical University, Candidate in Science in Engineering; graduated from the Faculty of Information Systems and Technologies of UlSTU; Associate Professor at the Department of Information Systems of UlSTU; an author of articles in the field of ontological modelling and building of computer-aided systems for knowledge processing. [e-mail: al.filippov@ulstu.ru]A. Filippov,

Anton Alekseevich Romanov, Ulyanovsk State Technical University, Candidate of Science in Engineering; graduated from the Faculty of Information Systems and Technologies of UlSTU; Associate Professor at the Department of Information Systems of UlSTU;an author of articles in the field of systems for data storage and processing, and time series mining. [e-mail:romanov73@gmail.com]A. Romanov,

Vadim Sergeevich Moshkin, Ulyanovsk State Technical University, Candidate of Science in Engineering; graduated from the Faculty of information systems and Technologies at UlSTU; Associate Professor of Information Systems at UlSTU; an author of more than 70 articles in the field of data mining systems. [e-mail: postforvadim@ya.ru]V. Moshkin,

Gleb Iurevich Guskov, Ulyanovsk State Technical University, graduated from the Faculty of information Systems and Technologies of UlSTU; Senior Lecturer at the Department of Information Systems of UlSTU; an author of publications in the field of ontological engineering and data mining systems. [e-mail: g.guskov@ulstu.ru]G. Guskov,

Maria Sergeevna Grigoricheva, Ulyanovsk State Technical University, Postgraduate Student at the Department of Information Systems of UlSTU; graduated from the Faculty of Information Systems and Technologies of UlSTU; Assistant Lecturer at the Department of Information Systems of UlSTU; an author of publications in the field of data mining. [e-mail:gms4295@mail.ru]M. Grigoricheva

Development of a Software Package for Data Mining of Social Media56_3.pdf

The article presents the results of work on a software package for data mining of social media. The architecture of the software package is described. Listed the main subsystems of the software package and third-party software systems used in the development of a software package. The organization of the data storage subsystem of the software package is considered, the data model of this subsystem is described. The approach to organizing the ontology repository of a software package based on a graph database is described, and the ontology translation method in the OWL / XML format into a graph database fragment is presented. The organization of the data search subsystem is considered, the method of extending the search query using ontology for accounting for the features of the subject area in the search process is described. Also presented is a method of formatting a search query to highlight the important elements of the query to improve the quality of the search. The organization of the social portrait building subsystem of the user of the social network VKontakte is described, the method of determining the categories of interests of the user is considered.

Social media, ontological analysis, natural language processing, data mining, software package.

2019_ 2

Sections: Information systems

Subjects: Information systems, Artificial intelligence.



Vadim Sergeevich Moshkin, Ulyanovsk State Technical University, Assistant of the Department of Information Systems at Ulyanovsk State Technical University; graduated from the Faculty of Information Systems and Technologies of Ulyanovsk State Technical University; an author of more than 40 papers in the field of intelligent systems. [e-mail: postforvadim@yandex.ru]V. Moshkin,

Aleksandr Nikolaevich Pirogov, JSC ‘Aviastar-SP’, Postgraduate Student of the Institute of Aviation Technologies and Managements of Ulyanovsk State Technical University, Head of the Department of Invest Projects at JSC ‘Aviastar-SP’. [e-mail: anpirogov@icloud.com]A. Pirogov,

Irina Aleksandrovna Timina, Ulyanovsk State Technical University, Assistant at the Department of Information Systems at Ulyanovsk State Technical University; graduated from the Faculty of Information Systems and Technologies of Ulyanovsk State Technical University with a specialty of Applied Informatics (in Economics); an author of articles in the field of intelligent analysis of time series. [e-mail: timina_i@mail.ru@ulstu.ru]I. Timina,

Vadim Viktorinovich Shishkin, Institute of Aviation Technology and Managements of Ulyanovsk State Technical University, Candidate of Engineering, Associate Professor; graduated from the Faculty of Radioengineering of Ulyanovsk Polytechnic Institute; Head of the Institute of Aviation Technology and Managements of Ulyanovsk State Technical University, an author of articles in the field of automated design of industrial products and Data Mining. [e-mail: shvv@ulstu.ru]V. Shishkin,

Nadezhda Glebovna Yarushkina, Ulyanovsk State Technical University, Doctor of Engineering, Professor; graduated from the Faculty of Radioengineering at Ulyanovsk State Technical University; First Vice-Rector - Vice-Rector for Scientific Affairs of Ulyanovsk State Technical University; an author of more than 250 papers in the field of soft computing, fuzzy logic, and hybrid systems. [e-mail: jng@ulstu.ru]N. Yarushkina

Intelligent Analysis of Project and Terminological Metrics in Project Management 000_11.pdf

This article describes the features of the interaction of participants in the project activity by the example of a large project organization. The model of activities on the basis of metrics version control systems is proposed. The direction of object OWL ontologies application in project activities is also considered. Moreover, an example of the use of ontological structures in solving problems of constructing the unified terminological environment of the project activity in the field of aircraft construction is given. The model of the object ontology of the aircraft flow assembly line (FAL) is proposed by the example of Il-76MD-90A assembly. The experiments of constructing the common terminological basis of the design process by terminology extraction from education materials on corresponding topics in the development of project documentation for the FAL automated management system (FAL AMS) of JSC ‘Aviastar-SP’ are presented.

Project management, version control system, object ontology, terminological environment.

2016_ 4

Sections: Artificial intelligence

Subjects: Artificial intelligence.


Ilya Alekseevich Andreev, Ulyanovsk State Technical University, a student at the Faculty of Information Systems and Technologies at Ulyanovsk State Technical University; an author of several articles in the field of information extraction from text. [e-mail: ares-ilya@yandex.ru]I. Andreev,

Vitaliy Aleksandrovich Bashaev, Ulyanovsk State University, a post-graduate student; graduated from the Faculty of Linguistics and International Cooperation of Ulyanovsk State University; an author of several articles in the field of information extraction from text. [e-mail: perevod73@yandex.ru]V. Bashaev,

Victor Victorovich Klein, Ulyanovsk State Technical University, a student at the Faculty of Information Systems and Technologies of Ulyanovsk State Technical University; an author of several articles in the field of information extraction from text. [e-mail: vikklein93@gmail.com]V. Klein,

Vadim Sergeevich Moshkin, Ulyanovsk State Technical University, a post-graduate student at the Department of Information Systems of Ulyanovsk State Technical University; graduated from the Faculty of Information Systems and Technologies at Ulyanovsk State Technical University; an author of articles in the field of data analysis intelligence systems. [e-mail: postforvadim@yandex.ru]V. Moshkin,

Nadezhda Glebovna Yarushkina, Ulyanovsk State Technical University, Doctor of Engineering, Professor, Head of the Department of Information Systems at Ulyanovsk State Technical University; an author of more than 250 papers in the field of soft computing, fuzzy logic, and hybrid systems. [e-mail: jng@ulstu.ru]N. Yarushkina

A Semantic Metric of the Termhood Based on the Subject Area Ontology 38_10.pdf

The article describes a semantic metric for a retrieval of a list of terms from the texts of a specific knowledge domain, based on the analysis of its ontology. A formal model of the used OWL-ontology, as well as models and algorithms for the degree evaluation of a word termhood or word combinations of text arrays are presented. In addition, the evaluation metrics of the presented semantic algorithms performance are given. The implementation of the formal models of a domain knowledge representation in an ontological form and the algorithms developed in the software system for the terminology extraction from the text is considered. In conclusion, the results of the computational experiments performed for the extraction of terms based on the ontology of the NC turning-milling machine operation from the texts of an appropriate knowledge domain are provided. A conducted research is summarized. The most efficient algorithms for the degree evaluation of a word termhood or word combinations are revealed, and a perspective for further scientific research in this area is examined.

Term extraction, semantic metric, ontology.

2014_ 4

Sections: Artificial intelligence

Subjects: Artificial intelligence.


Vadim Sergeevich Moshkin, Ulyanovsk State Technical University, Post-graduate Student at the Department of Information Systems at Ulyanovsk State Technical University; graduated from the Faculty of Information Systems and Technology of Ulyanovsk State Technical University; an author of articles in the field of intelligent systems. [e-mail: postforvadim@yandex.ru]V. Moshkin,

Nadezhda Glebovna Yarushkina, Ulyanovsk State Technical University, Doctor of Engineering, Professor, Head of the Department of Information Systems at Ulyanovsk State Technical University; an author of more than 250 papers in the field of soft computing, fuzzy logic, and hybrid systems. [e-mail: jng@ulstu.ru]N. Yarushkina

Ontological Time-series Analysis System 36_12.pdf

This article describes a semantic approach to analyzing the time series as an example of local area network (LAN) status parameters using the ontology of problem area. We represent a formal model of the OWL-ontology for the considered subject domain, an ontological view model for a set of production rules. An inference algorithm for LAN architecture modification during its status estimation while artificially increasing traffic is proposed.We solved the aggregation problem of the different approaches to expert knowledge representation through the product knowledge integration into the ontological model using SWRL- rules. In addition, the implementation of this algorithm in the time-series analysis software TSAnalyzer is considered.The results of computational experiments on LAN-status simulation while artificially increasing traffic as an example of the LAN of the Center for Development of Electronic Media Technologies at Ulyanovsk State Technical University are represented. We summarized the research results conducted and evaluated further research findings expectation in this domain.

Ontology, time series, data mining, semantics.

2014_ 2

Sections: Artificial intelligence

Subjects: Artificial intelligence, Automated control systems.


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