ISSN 1991-2927
 

ACP № 2 (56) 2019

Author: "Aleksei Mikhailovich Namestnikov"

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.



Aleksei Mikhailovich Namestnikov, Ulyanovsk State Technical University, Doctor of Science in Engineering; principal lecturer; graduated from the Faculty of Radioengineering at Ulyanovsk State Technical University; Professor of the Department of Information Systems at UlSTU; an author of more than 80 scientific papers in the field of automated design and intelligent systems. [e-mail: nam@ulstu.ru]A. Namestnikov,

Petr Ivanovich Sosnin, Ulyanovsk State Technical University, Honored Worker of the Higher School of the Russian Federation, Doctor of Engineering, Professor; graduated from the Radioengineering Faculty of Ulyanovsk Polytechnic Institute; Head of the Department of Computer Science at Ulyanovsk State Technical University; an author of numerous works in the field of conceptual design of computer-aided systems. [e-mail: sosnin@ulstu.ru.]P. Sosnin,

Method for Conceptual Indexing of Project Diagrams in Electronic Archives 54_6.pdf

The objective of the research is the development of a method for conceptual indexing of semistructured project diagrams. The proposed method of conceptual indexing is based on the use of the special type of ontologies - the ontology of project diagrams. This ontology includes semantic description of project diagram notations and design patterns used in the software system development. Intelligent design systems that allow to perform more efficiently tasks of structuring the large electronic archives including project diagrams of software and hardware systems have been developed.

Uml, ontology, project diagram, uml, conceptual indexing.

2018_ 4

Sections: Artificial intelligence

Subjects: Artificial intelligence.


Aleksei Mikhailovich Namestnikov, Ulyanovsk State Technical University, Candidate of Engineering, Associate Professor, Associate Professor at the Department of Information Systems at Ulyanovsk State Technical University; graduated from the Faculty of Radioengineering of Ulyanovsk State Technical University; an author of more than 80 papers in the field of CAD and intelligent systems. [e-mail: nam@ulstu.ru]A. Namestnikov,

Gleb Iurevich Guskov, Ulyanovsk State Technical University, Postgraduate Student at the Department of Information Technologies of Ulyanovsk State Technical University; graduated from the Faculty of Information Systems and Technologies of UlSTU; Assistant at the Department of Information Systems of UlSTU; an author of papers in the field of ontology modeling and intellectual time series analysis. [e-mail: g.guskov@ulstu.ru]G. Guskov

The Software Project Management System Based on the Ontology Approach 000_11.pdf

In information system designing process, one of the most important artefacts of project activities is a set of UML-diagrams. In order to ensure development continuity and organization of interaction between the analysts and programmers, the structure of the domain concepts should be provided. storage and processing of domain data and knowledge can be presented optimally in the OWL ontology format. The article describes a tool that allows automated integration of the UML-diagrams and OWL-ontologies. project UML-diagrams are translated into a XMI-format. After that, the ontology is constructed on the basis of the diagrams, which is available for extension by the specialist in ontological engineering. The ontology can be extended by the introduction of rules limiting the opportunities for building UML-diagrams and, as a consequence, for a software product in accordance with the domain. The main advantage of the ontological approach in the management of software projects is checking the consistency of ontology and receiving the associated UML-diagrams as a result. such checks should be carried out when changing the UML- diagrams or the domain ontology that provides consistent state of a system during the software product life cycle. On the basis of the obtained ontology, new software compatible with the already existing ones can be designed. General ontological base of the software can help to minimize costs of integration of the projects as well as individual modules. The article contains an experiment of translating UML-diagrams from open source projects (github) to the OWL-ontology as well as the analysis of the frequency of the use of class diagrams elements. Moreover, the article presents the results of checking the consistency of the ontologies generated and offers the further ways of this direction development. This article is intended for IT professionals and experts in ontological modeling.

Uml-диаграмма, domain ontology, uml-diagram, reasoner.

2016_ 3

Sections: Information systems

Subjects: Information systems, Computer-aided engineering.


Nadezhda Glebovna Yarushkina, Ulyanovsk State Technical University, Doctor of Engineering, Professor, First Vice-Rector - Vice-Rector for Science of Ulyanovsk State Technical University; graduated from the Faculty of Radioengineering 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,

Tatiana Vasilevna Afanaseva, Ulyanovsk State Technical University, Doctor of Engineering; Associate Professor, Deputy Head of Information Systems Department at Ulyanovsk State Technical University; graduated from the Faculty of Radioengineering at Ulyanovsk State Technical University; an author of articles and monographs in the field of time series data mining. [e-mail: tv.afanasjeva@gmail.com]T. Afanaseva,

Aleksei Mikhailovich Namestnikov, Ulyanovsk State Technical University, Candidate of Engineering, Associate Professor, Associate Professor at the Department of Information Systems at Ulyanovsk State Technical University; graduated from the Faculty of Radioengineering of Ulyanovsk State Technical University; an author of articles and a monograph in the field of intelligent systems for storage and processing of information. [e-mail: nam@ulstu.ru]A. Namestnikov,

Gleb Iurevich Guskov, Ulyanovsk State Technical University, Post-Graduate Student of the Department of Information Systems at 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 time series data mining. [e-mail: guskovgleb@gmail.com]G. Guskov

Integration of Fuzzy Granular and Ontological Methods for Time Series Analysis 000_8.pdf

The theoretical and methodological foundations of fuzzy granular modeling were developed to solve the problem of fuzzy trend analysis of time series. Their practical implementation as a program complex allows to get the solution of some applied problems. Fuzzy granular presentation of time series includes five levels: from numeric value granulation to the main trend granulation. The authors propose to use fuzzy ontologies of problem area to interpret the results of time series analysis. he problem area fuzzy ontologies were offered to interpret the results of time series analysis. The ontology basis is based on the RDF model that defines classes, instances, ontological relationships, and contingencies. The logical interference of recommendation is realized on the basis of interaction between fuzzy OWL ontology and rule-oriented SWRL rules system. The article deals with the possibilities of integration of several methods of time series forecasting and corresponding aggregates. The integration of techniques for time series analysis and ontological analysis demonstrates the competitiveness of fuzzy trend models based on the mutual reinforcement of ontological and fuzzy granular methods.

Fuzzy time series, fuzzy tendencies, ontology, fuzzy ontology.

2015_ 2

Sections: Information systems

Subjects: Information systems, Artificial intelligence.


Aleksei Mikhailovich Namestnikov, Ulyanovsk State Technical University, Candidate of Engineering, Associate Professor; graduated from the Faculty of Radioengineering of Ulyanovsk State Technical University; Associate Professor at the Chair Information Systems of the Faculty of Information Systems and Technology of Ulyanovsk State Technical University; author of articles and a monograph in the field of intelligent systems for storage and processing of information [e-mail: nam@ulstu.ru]A. Namestnikov,

Ruslan Ayratovich Subkhangulov, Ulyanovsk State Technical University, post-graduate student at the Chair Information Systems of Ulyanovsk State Technical University; graduated from the Faculty of Information Systems and Technology of Ulyanovsk State Technical University; author of articles in the field of intellectual systems for storage and processing of information [e-mail: subkhangulov-ruslan@yandex.ru]R. Subkhangulov

Development of Instrument of Ontology Engineering in Intellectual Design Repository 28_7.pdf

The present article is a result of researches whose important part is associated with the building of ontology of application of a design repository and the environment of its development. The paper deals with a concept of ontology from the point of view of informatics, presents a detailed description of subject-oriented editor of ontology, developed to solve tasks of intellectual analy-sis of design documents.

Ontology, rdf, indexing, design document, concept, term.

2012_ 2

Sections: Artificial-intelligence systems

Subjects: Artificial intelligence, Computer-aided engineering.


Aleksei Mikhailovich Namestnikov, Ulyanovsk State Technical University, Candidate of Engineering, Associate Professor; graduated from the Faculty of Radioengineering of Ulyanovsk State Technical University; Associate Professor at the Chair 'Information Systems' of the Faculty of Information Systems and Technology; author of articles and a monograph in the field of intelligent systems for storage and processing of information [e-mail: nam@ulstu.ru]A. Namestnikov

Conceptual Indexing of Design Documentson Basisof Genetic Optimization 27_9.pdf

The article contains a formal description for a process of finding of a dominant concept in a text fragment of a design document. It also presents an adaptation for standard genetic algorithm in order to solve the task of optimum segmentation of design document into text fragments, ontology concepts dominated, and considers implementations of crossingover and mutation statements.

Intellectual system, indexing, genetic algorithm, ontology.

2012_ 1

Sections: Computer-aided design systems

Subjects: Artificial intelligence, Computer-aided engineering.


Alexey Mikhailovich Namestnikov, Ulyanovsk State Technical University, Candidate of Engineering, Associate Professor; graduated from the Faculty of Radio-Engineering of Ulyanovsk State Technical University; Associate Professor at the Chair Information Systems of the Faculty of Information Systems and Technologies; author of articles and a monograph in the field of intelligent systems for storage and processing of information. [e-mail: nam@ulstu.ru]A. Namestnikov

Intensional Representation of Design-document Clusters on Basis of Pawlak Rough Sets 25_6.pdf

The article contains a formal description for the method of intensional cluster representation of design documents with examples. The content of an intellectual repository is a set of conceptual indexes. Each of them represents a separate design document. To adapt the procedure of the formation of logical rules which let define clusters, on basis of Pawlak rough sets, a notion Zadeh linguistic variable is applied.

Intellectual system, clustering, linguistic variable, rough set.

2011_ 3

Sections: Artificial-intelligence systems

Subjects: Artificial intelligence, Automated control systems, Computer-aided engineering.


Alexey Mikhailovich Namestnikov, Ulyanovsk State Technical University, Candidate of Engineering, Associate Professor; graduated from the Faculty of Radio-Engineering of Ulyanovsk State Technical University; Associate Professor at the Chair Information Systems of the Faculty of Information Systems and Technologies; author of articles and a monograph in the field of intelligent systems for storage and processing of information. [e-mail: nam@ulstu.ru]A. Namestnikov,

Aleksei Aleksandrovich Filippov, Ulyanovsk State Technical University, post-graduate student at the Chair 'Information Systems'; graduated from the Faculty of Information Systems and Technologies of Ulyanovsk State Technical University; author of articles in the field of intellectual systems for storage and processing of information. [e-mail: al.filippov@ulstu.ru]A. Philippov

Implementation of Clustering System for Conceptual Indexes of Design Documents 25_7.pdf

The article contains a description for the implementation of a clustering system of design documents. The documents are preliminary indexed in order to obtain conceptual indexes. The domain ontology is represented in the form of RDF-triplets object-subject-predicate. The XML-format is applied to store conceptual indexes. The Tamino XML-server is used as a repository.

Intellectual system, clustering, ontology, conceptual index.

2011_ 3

Sections: Artificial-intelligence systems

Subjects: Artificial intelligence, Automated control systems, Computer-aided engineering.


Aleksei Mikhailovich Namestnikov, [e-mail: mars@mv.ru]A. Namestnikov,

Alexey Alexanderovich Philippov, [e-mail: mars@mv.ru] A. Philippov

Conceptual Indexation of Design Documents 20_5.pdf

The article presents a formal description of conceptual-indexation process for design documentation, which is accompanied by illustrations. It also shows a scheme of con-ceptual indexation using domain ontology. A conceptual-index model is based on fuzzy graph. The article also describes particularities of software implementation of conceptual-indexation subsystem within intellectual design repository.

Intellectual system, indexation, repository, fussy graph, design document.

2010_ 2

Sections: Theoretical issues of automation of command and control processes

Subjects: Artificial intelligence.


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