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Published since 1998
ISSN 1562-5419
16+
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Digital Ecosystem OntoMath as an Approach to Building the Space of Mathematical Knowledge

Alexander Mikhailovich Eizarov, Alexander Vitalevich Kirillovich, Evgeny Konstantinovich Lipachev, Olga Avenirovna Nevzorova
154–202
Abstract:

The results on the creation of methods for managing mathematical knowledge in the context of digital mathematical libraries are presented. The software tools developed on the basis of these methods are part of the OntoMath digital ecosystem, within which they interact. A brief description of the architecture of the OntoMath ecosystem is given, the levels of subject ontologies and external ontologies are highlighted, as well as the level of software tools and services. Semantic services are separated into a separate category. This term denotes software tools, in the functionality of which queries to subject ontologies are used to ensure the management of knowledge objects. General descriptions of developed subject ontologies are given: educational mathematical ontology OntoMathEdu and ontology of professional mathematics OntoMathPRO. The development of educational ontology is reflected in the direction of including educational prerequisite links between classes. Among the software tools of the digital ecosystem, search services for mathematical electronic collections, a service for semantic annotation of mathematical documents, tools for semantic marking of educational mathematical documents, as well as a system for automatically generating testing tests in mathematical educational disciplines are highlighted. As part of the OntoMath digital ecosystem, special-purpose recommender systems are being developed. The current version of the ecosystem includes a recommender system for generating a list of related articles based on the OntoMathPRO ontology, a recommender system for appointing experts to support the scientific review process, and recommender systems for selecting subject classifiers UDC and Mathematics Subject Classification codes for mathematical documents. The results are also presented in the direction of creating a digital library metadata factory, which includes services and tools for extracting, refining, replenishing and normalizing the metadata of electronic mathematical collections. Note that the OntoMath ecosystem is being developed as the technological basis for the Lobachevskii Digital Mathematical Library.

Keywords: Digital Ecosystem, OntoMath Ecosystem, Digital Mathematical Library, Lobachevskii-DML, Ontology, OntoMathPRO, OntoMathEdu.

The Use of Thematic Analysis Methods in Scientometric Systems

Alexander Sergeevich Kozitsyn, Sergey Alexandrovich Afonin, Dmitry Alekseevich Shachnev
315-338
Abstract:

Modern scientometric systems and citation systems use various mechanisms of thematic search and thematic filtering of information. In most cases, a full-text approach is used for thematic analysis of articles and journals, which has a number of limitations. The use of algorithms based on graph analysis, both independently and in conjunction with full-text algorithms, eliminates these limitations and improves the completeness and accuracy of subject search. The algorithm developed by the authors and presented in this work uses the co-authorship graph to analyze the thematic proximity of journals. The algorithm is insensitive to the language of the journal and selects similar journals in different languages, which is difficult to implement for algorithms based on the analysis of full-text information. The algorithm was tested in the scientometric system IAS ISTINA. In the interface developed for these purposes, the user can select one journal that is close to him on the subject, and the system will automatically generate a selection of journals that may be of interest to the user both in terms of studying the materials available in them and in terms of publishing his own articles. In the future, the developed algorithm can be adapted to search for similar conferences, collections of publications and scientific projects. The presence of such a tool will increase the publication activity of young employees, increase the citation rate of articles and the citation rate between journals. The results of the algorithm for determining thematic proximity between journals, collections, conferences and scientific projects can also be used to build rules in models of differentiating access to data based on domain ontologies.

Keywords: thematic classification, bibliographic data, co-authorship graph, information systems.

Recommender System in the Process of Scientific Peer Review in Mathematical Journal

Alexander Mikhailovich Elizarov, Evgeny Konstantinovich Lipachev, Shamil Makhmutovich Khaydarov
708-732
Abstract: An approach is proposed for organizing expert evaluation of a scientific document submitted to a mathematical journal. Domain restriction is associated with the use of the Mathematical Sciences Classification System – MSC. A recommendation system is presented that allows you to create a list of possible experts for conducting scientific peer-reviewing on a mathematical article. The recommender system uses the MSC codes presented by the author of the article on the MSC2020 classifiers. If the codes MSC2000 or MSC2010 are indicated in the article, they are automatically converted to codes MSC2020. For each expert, the system supports a personal profile that contains a set of codes MSC2020, supplemented by numerical characteristics – weights calculated for each code in accordance with the system of accounting for competencies, preferences or refusals to participate in the review procedure. This set is automatically edited if the expert is included in the list of possible reviewers – the weights of several codes increase or decrease, as well as new codes are added. The recommendation system is implemented as an integrated tool (plug-in) of the Open Journal Systems (OJS) platform. The developed method has been tested in the information system of the Lobachevskii Journal of Mathematics (https://ljm.kpfu.ru).
Keywords: scientific journal information system, Open Journal Systems, peer review workflow, automated reviewers selection, Mathematics Subject Classification 2010, Lobachevskii Journal of Mathematics.

Extraction of aspects of goods and services from consumers reviews using conditional random fields model

Юлия Владимировна Рубцова, Сергей Андреевич Кошельников
203-221
Abstract:

This paper describes the Information extraction system that was presented at SentiRuEval-2015: aspect-based sentiment analysis of users' reviews in Russian. The proposed system uses a conditional random field algorithm to extract aspect terms mentioned in the text. A set of morphological features was used for machine learning. The system intent to perform two subtasks, Task A – automatic extraction of explicit aspects and Task B – automatic extraction of all aspects (explicit, implicit and sentiment facts), and tested on two domains: restaurants and automobiles. Our systems performed competitively and showed the results comparable to those of the other 10 participants.

Keywords: information retrieval, CRF, aspect extraction, content analysis.

Basic Services of Factory Metadata Digital Mathematical Library Lobachevskii-Dml

Polina Gafurova, Alexander Elizarov, Evgeny Konstantinovich Lipachev
336-381
Abstract: A number of problems related to the construction of the metadata factory of the digital mathematical library Lobachevskii-DML have been solved. By metadata factory we mean a system of interconnected software tools aimed at creating, processing, storing and managing metadata of digital library objects and allowing integrating created electronic collections into aggregating digital scientific libraries. In order to select the optimal such software tools from existing ones and their modernization:we discussed the features of the presentation of the metadata of documents of various electronic collections related both to the formats used and to changes in the composition and completeness of the set of metadata throughout the entire publication of the corresponding scientific journal;we presented and characterized software tools for managing scientific content and methods for organizing automated integration of repositories of mathematical documents with other information systems;we discussed such an important function of the digital library metadata factory as the normalization of metadata in accordance with the formats of other aggregating libraries.As a result of the development of the metadata factory of the digital mathematical library Lobachevskii-DML, we proposed a system of services for the automated generation of metadata for electronic mathematical collections; we have developed an xml metadata presentation language based on the Journal Archiving and Interchange Tag Suite (NISO JATS); we have created software tools for normalizing metadata of electronic collections of scientific documents in formats developed by international organizations – aggregators of resources in mathematics and Computer Science; we have developed an algorithm for converting metadata to oai_dc format and generating the archive structure for import into DSpace digital storage; we have proposed and implemented methods for integrating electronic mathematical collections of Kazan University into domestic and foreign digital mathematical libraries.
Keywords: digital libraries, digital mathematical library, metadata generation, metadata extraction, metadata normalization, metadata factory, NISO JATS, semantic relationships, Lobachevskii-DML.

Digital infrastructure of electronic scientific journal: automation of editorial and publishing process and system of services

Миляуша Салахутдиновна Галявиева, Александр Михайлович Елизаров, Евгений Константинович Липачёв
408-465
Abstract:

We investigated the current models of the publication and dissemination of scientific knowledge. We describe the modern information management system of scientific publications and services that determine their functionality.

We discuss the concept of the digital infrastructure of the electronic scientific journal. Under this infrastructure, we understand the complex that combines management software platform of electronic journal and a number of specialized information systems. The software platform realizes the basic operating log management processes. Information systems provide the operation of additional services, taking into account the specifics of the journal subject area.

We present an approach to the organization of the digital infrastructure of the scientific journal based on an open platform Open Journal Systems (OJS). We provide software services that extend the functionality of this platform and considering specificity of the subject area of scientific journals. We have created software modules for automating of electronic scientific journal workflow. These modules are an extension of OJS.

We present a system of services for the automated processing of collections of scientific documents. These services provide verification of document compliance to the accepted rules of formation of collections and their conversion to the established formats; structural analysis of documents and extraction of metadata, as well as their integration into the scientific information space. The system allows to automatically performing a set of operations that cannot be realized for acceptable time with the traditional manual processing of electronic content. It is designed for the large collections of scientific documents.

Algorithms style validation of texts at the article registration stage in the information system of electronic scientific journal, the selection of reviewers, alert and control the timing of reviewing were automated. Information gathering algorithm with dedicated news lines of scientific journals, further analysis and distribution of news by categories and degrees of importance were developed. The algorithm automatically extract bibliographic data from a homogeneous array of publications (in particular, the issues of the scientific journal) and the formation of metadata blocks for export to international information and analytical system were created. Methods integration of OJS platform and international databases of science citation were developed.

We present methods of processing documents containing mathematical formulas: in the collections of documents that contain mathematical formulas, algorithm for the search formulas is developed; basic ideas, approaches and results already obtained by the mathematical knowledge management based on ontology are presented; a method of constructing recommender systems based on mathematical knowledge ontologies described. The method of primary processing automated of scientific article using TеX-notation developed.

The new direction of researches of scientific communications in the environment of Web 2.0 – altmetrics – is considered. We have analyzed the content of the notion «altmetrics», we conducted a comparison of traditional (bibliometric and scientometric) and alternative indicators. We describe the use of world experience informetric services on scientific journals sites. We discussed options for implementing these approaches to create an electronic scientific journal management platform. 

Keywords: publishing systems, advanced models of publication and dissemination of scientific knowledge, the information society, electronic scientific journal, modern information management system of scientific publication, integration of electronic resources.

The Two-Level Information and Analytical Control System for Intelligent Traffic Lights

Maxim Vladimirovich Bobyr, Natalia Igorevna Khrapova
696-717
Abstract:

In the modern world, the problems arising in the field of traffic are of great importance. In order to solve existing problems, various intelligent systems are being developed, one of which is the Smart City system. This work is devoted to the development of an information and analytical system (IAS) for controlling an intelligent traffic light. The presented system consists of two levels, each of which contains a set of specific operations. The first level is responsible for detecting objects, in particular pedestrians and cars at the intersection, and the second level calculates the operating time of traffic light signals for the control signal that is transmitted to the device. For comparative analysis, the combined method (HOG+SVM) Histogram of oriented gradients was chosen, based on counting the number of gradient directions on individual image areas and Support Vector Machines, which are used to construct hyperplanes in n-dimensional space in order to separate objects belonging to different classes. The results of an experimental study, during which the recognition of objects in images was carried out, showed the superiority of the developed information and analytical system over existing methods. The average accuracy of detecting pedestrians and cars through the IAS was 69.4%. In addition, according to the experiment, it was concluded that the accuracy of detecting objects in images is directly proportional to the distance from the video camera to the object.

Keywords: intelligent traffic light, object detection, machine learning, fuzzy logic boundary detection method, YOLO, HOG, SVM.

Information System for Registering the Result of Scientific Institution Employees’ Intellectual Activity

Svetlana Aleksandrovna Vlasova, Nikolay Evgenevich Kalenov
218-237
Abstract:

The article describes a typical object-oriented WEB-system designed for storing and providing various reference and statistical data on the scientific works of employees of an institution (group of institutions), developed by specialists of the JSCC RAS. The system contains information about publications of employees and reports made by them at scientific conferences, symposiums, and seminars. The system is focused on working with objects belonged to classes connected between each other, such as "author", "organization", "publication", "report", "event". The metadata profile of objects of each class includes attributes that are necessary to get detailed information about both an individual object of this class and a group of objects associated with the specified attribute values of objects of other classes. For example, you have to get a list of articles by employees of a given organization published articles in a given journal for a given period of time. A distinctive feature of the system is the introduced concept of "equivalent" objects. Such objects are "persons" corresponding to the same author with different spellings of the last name in the bibliographic descriptions of publications; organizations with different versions of names; articles which are published without changes in different languages. This article describes in detail the features of the system, its user interface, and provides examples of performing specific queries.

Keywords: databases, research results accounting, WEB-based system, network technologies, publication activity analysis, software.

О реализации веб-системы математической информации

А.С. Аджиев, А.Н. Бездушный, В.А. Серебряков
Abstract: На основе проведенного ранее анализа российских математических электронных ресурсов, а так же опыта зарубежных математических информационных систем описан проект создаваемой математической информационной системы Math-Net.RU. Базовой платформой системы Math-Net.RU является универсальная информационная система ИСИР.
Проект описан в терминах перечня требований и условий, которым должна удовлетворять создаваемая система. Рассмотрены и проанализированы альтернативные варианты реализации различных компонент системы, а также пути решения возникающих при этом проблем. Очерчены категории хранимой информации, целевой круг пользователей системы и требуемая функциональность. Описана общая архитектура, схема данных, пользовательские интерфейсы, а также способы наполнения системы информацией, актуализации и синхронизации данных из других информационных систем и баз данных. Рассмотрены проблемы представления математических текстов и формул в информационных системах, дан сравнительный анализ существующих форматов хранения. Очерчены так же перспективы участия системы Math-Net.RU в создаваемой Всемирной математической информационной системе Math-Net, а также требования к системе-участнику.

Graduation thesis: intellectual property, the source of personal data. legal problems when checking and using

Павел Петрович Гейко
305-321
Abstract:

This work addresses some of the legal issues emerging in connection with the necessary to implement mandatory testing of final qualifying works for borrowings at realization final attestation on educational programs of higher education, posting these works in electronic library systems educational organizations, but also their use. In particular, the need to comply with legislation on personal data when processing personal information in the course of audit work identifying plagiarism, publishing works in library systems. Paid attention to the enforcement of intellectual property rights of authors of final qualifying works during educational organizations assigned to them defined responsibilities. Analysis of legal issues carried out taking into account introduced by the Government of the Russian Federation the draft law on education the organization of higher education it is proposed to impose a duty on public access on the official website of the educational organization in the Internet the full texts of final qualification works of master's programs and specialist programs.

Keywords: originality, uniqueness, identifying plagiarism, plagiarism, personal data, intellectual property, exclusive rights, qualifying work, educational work (educational programs), scientific work, author, posting, publishing, electronic library, education.

V International Conference «Information Technologies in Earth Sciences and Applications for Geology, Mining And Economy. Ites&Mp-2019»

Vera Viktorovna Naumova
1279-1300
Abstract:

The materials presented at the Conference describe the results of recent years in the following areas: Open access to scientific data and knowledge in Earth Sciences; Data peculiarities in Earth Sciences: new concepts and methods, tools for their collection, integration and processing in different information systems, including systems with intensive use of data; Data mining and mathematical simulation of natural processes in Earth Sciences. Evolution of classical GIS-applications in Earth Sciences; Application to Critical Raw Materials (CRM); social aspects of mining (e.g., the Social Licence to Operate [SLO]); predictive mapping and applications to exploration, landuse and search for extensions of known deposits; Intelligent data analysis, elicitation of facts and knowledge from scientific publications. Thesauruses, ontologies and conceptual modeling. Semantic WEB, linked data. Services. Content semantic structuring. Applications for geosciences, e.g., Ontology-based Dynamic Decision Graphs for Expert systems and decision-aid tools; Application of methods and technologies of the remote sensing in Earth Sciences: from satellites to unmanned aerial vehicles; Information technologies for demonstration and popularization of scientific achievements in Earth Sciences; Applications: environmental risks including mining wastes, natural hazards, water resource management, etc.

Keywords: information technology, Earth sciences.

Creating a Data Processing Ecosystem for Geological Research

Vitaliy Sergeevich Eremenko, Vera Viktorovna Naumova
336-347
Abstract:

This paper discusses heterogeneous geographically distributed computing systems for processing geological data and approaches to organizing interaction with these systems. The systems are classified by the authors into a number of groups based on the main functional capabilities and technological solutions. A description of the main properties for each type of systems is given, including possible ways for interaction.


An approach is proposed for organizing a single workspace with access to heterogeneous geographically distributed computing systems within the ecosystem developed by the authors. The architecture of the proposed solution and the rules of interaction for its participants are described. A software prototype is demonstrated that implements the described principles on the example of several heterogeneous systems for processing geological information.

Keywords: computing and analytical environment, cloud services, web services, software platforms.

Описание и использование тезаурусов в информационных системах, подходы и реализация

М.Х. Нгуен, А.С. Аджиев
Abstract: В статье рассмотрены разные подходы к формализации тезаурусов, а также стандарты ISO, ANSI и ГОСТ. Сделан анализ некоторых возможных платформ для такой формализации, описаны особенности работы с тезаурусами в информационных системах, а также проблемы при этом возникающие, требования к реализации тезауруса в рамках SemanticWeb [12].
Рассмотрены особенности и различия классификаторов ресурсов и обычных терминологических и лингвистических тезаурусов. Дан сравнительный анализ существующих схем данных и подходов к реализации тезаурусов для информационных систем на основе RDF. Рассмотрены также вопросы организации пользовательских интерфейсов для работы с тезаурусами, и использования их при поиске в информационной системе, а также интерфейсы администрирования тезаурусов.
Во второй части статьи на основании проделанного анализа сформулированы требования к описанию тезауруса в ИСИР, и приведена общая универсальная схема данных для представления тезауруса в этой информационной системе, удовлетворяющая перечисленным требованиям, и небольшой пример реализации в ней классификатора MSC.
На основании предложенной общей универсальной схемы и сформулированных требований описана реализация тезауруса в ИСИР.

Multitrading Analytical System

Felix Osvaldovich Kasparinsky
796–945
Abstract:

The multitrading analytical system is designed for operational, tactical and strategic forecasting of price changes of various financial instruments in the Forex market using the Metatrader 5 computer Internet terminal. In the Analytical windows of the terminal, a functional distribution of 17 indicators of technical analysis is organized into Sections of Price, Oscillations, Trends and Control. When setting up complex indicators of Price Equilibrium Level, Oscillation Distribution, Trend Potential and Oscillation Group Trend, a technique is used to connect trend indicators to oscillator data. Complex indicators unmask the stages of formation of elementary price oscillations and their groups (packets of 4 oscillations, blocks of 2 packages and modules of 4 blocks), and help establish the location of pivot points of price channels. For synchronous analysis of operational, tactical and strategic trends in price changes of one financial instrument, the Analytical Display combines six Analytical windows with a sequential increase in the time scale of interval charts (timeframes) by 4 times. Regulations have been developed for multiscale marking, design and use of Andrews pitchforks for forecasting long-term trends. Operational and tactical forecasts are visualized using multi-scale trend arrows in the Zone of Actual Oscillations. A technique is proposed for combining the tools of fundamental and technical analysis to determine the probability of the onset and relative significance of fundamental events that are not contained in the economic calendar.

Keywords: multitrading, trading, forex, investment, technical analysis, fundamental analysis, indicator, trading signal, price channel, Andrews pitchfork, oscillation, package, block, module.

Development of the Information System for Registering the Result of Scientific Institution’ Employees Intellectual Activity

Svetlana Aleksandrovna Vlasova, Nikolay Evgenevich Kalenov
770-793
Abstract:

The article describes a Web-system developed by the authors that implements services related to the formation and provision of multifaceted information about the results of scientific activities (publications, copyright certificates and reports at scientific events) of employees of an organization or a group of organizations. The system is focused both on the end user interested in obtaining specific data, and on the administrative staff, who generates reporting materials for the parent organization. The information base of the system contains metadata on the following classes of objects: persons (authors), organizations and their subdivisions; publications at analytical, monographic and summary levels; copyright certificates; scientific events (conferences, symposia, seminars); reports. The system includes two modules – an administrative one (intended for entering and editing data) and a user one, which is a special search engine that searches for information, visualizes it, provides navigation among related resources and exports data. A distinctive feature of the system is the introduced concept of “equivalent” objects. Objects are considered equivalent if they are represented in the system by different metadata, but referring to the same physical entity. Such objects are “persons” corresponding to one author with different spellings of the surname in the bibliographic descriptions of publications; organizations with different variants of names; articles published unchanged in various languages. In accordance with modern requirements for reporting on publications, the system reflects the sources of research funding, as well as the affiliations indicated in the articles for each author.

Keywords: scientific works, scientific activity, automated system, database, management reports, network technologies.

Developing Technological Cycle of Search System that Agregates Citations by Books

Roman Valerievich Mosolov
246-256
Abstract:

In this article, we have described the technological cycle to develop the search system by 14 philosophical books by L.A. Seklitova, and L.L. Strelnikova. The cycle contained 6 steps of work. The ideas from the article may be useful to project, and develop a software, aggregating citations from books series, monographs, scientific periodicals, or scientific articles. For example, this experience may be useful for creating customized links on secondary sources that needs at a stage of writing scientific articles and design of presentations in Pedagogy. The search system is the result of 1 year work by the article author, and the group of around 30 volunteers. The system is represented a service, integrating in the web application. The technological stack contains Jade, CSS, JS, Node.js, Express.js, ESLint, Jest.

Keywords: search system, searching system, search by books, search by book, search by citations, citations aggregator, aggregator by citations, books aggregate, citations data aggregators, develop search engine.

Automated System for Selecting Optimal Methods for Solving Acoustic Problems Based on Ontology

Irina Leonidovna Artemieva, Alina Evgenevna Chusova
719-737
Abstract:

The report presents the software package that will allow specialists in the field of architectural acoustics to choose the most appropriate methods for modeling sound and selecting finishing materials depending on the tasks and parameters of a building A distinctive feature of this system is the presence of an ontology of the subject area that describes the terms and relationships between concepts, as well as modules for solving various problems in the field of architectural acoustics. Such an approach will allow the user to recommend the most suitable simulation methods for one’s request due to considering the specifics of the premises and the functional requirements of the client. The on-demand software system allows to optimize and parallelize programs written in a domain-specific programming language. The paper describes the principles of source code analysis to identify critical areas and modify them using a bank of patterns. The report also discusses an approach to develop a domain-specific programming language based on domain ontology, ODSL (Ontology-Based Domain-Specific Language), which allows specialists to describe algorithms not accounting for different specific optimization and parallelization methods. The novelty of the work lies in the proposed architecture of modules based on applied ontology, which makes it possible to adapt the solution to other subject areas.

Keywords: ontology, architectural acoustics, optimization, parallelism, ODSL.

On Modeling the Operation of the Defense Industries of the Economy: Information Support

Anatoly Anatolievich Akinshin, Yuri Evgenievich Polyak
566-575
Abstract: When processing huge amounts of information arising in the process of activities of individual organizations and entire sectors of the economy, new approaches and solutions are needed. For effective conversion of national defense industry, an information and analytical system is being developed. The paper discusses the created tool for systematization of open data on military products and defense industry potential. In particular, a resource is being developed that will be a kind of aggregator of this information.
Keywords: military-industrial complex, scientific and industrial policy, information support, network information resources, databases.

Calculated emotions model in intelelctual software systems

Максим Олегович Таланов, Александр Сергеевич Тощев
231-241
Abstract: We have studied emotions in various aspects: philosophical, psychological and neurophysiological; taking them into account cognitive architecture has been described. Based on Lovheim “Emotion Cube”, “Wheel of emotions” by Plutchik, Tomkins “Theory of affects” and Marvin Minsky thinking model we describe usage of emotions as influence factors for computing processes. Also indicated the possibility of using emotions in intelligent question-answer systems.
Keywords: artificial intelligence, virtual assistant, social agent, emotions, thinking models, calculated emotions.

Automation of Footages Sorting by Screenplay Text for Video Editing

Andrey Dmitrievich Nemanov, Irina Sergeevna Shakhova
533-557
Abstract:

The video editing process involves numerous labor-intensive operations for sorting and preparing footages, requiring significant time investment. This article describes the development of a software solution that uses machine learning technology to automate these processes.


The primary focus is on creating a system capable of classifying and sorting media files according to the screenplay text, thereby increasing the efficiency of material preparation for editing. The system includes modules for speech recognition, audio and video classification, and algorithms for determining screenplay compliance.


Testing showed that the proposed system correctly classifies media files in most cases, significantly reducing rough-cut editing time.

Keywords: video editing, automation, machine learning, speech recognition, audio classification, video classification, coreml, parallel computing, screenplay, soundex, tf-idf, cosine similarity, natural language processing.

Building a Digital Geological Knowledge Management System to Support Scientific Research

Michail Ivanovich Patuk, Vera Viktorovna Naumova
148-158
Abstract:

The paper describes new approaches to collecting data on scientific publications from open access systems with the subject of Earth Science. Based on the developed and adapted approaches, an archive of scientific publications (repository) and a set of programs for accessing scientific publications for collecting, searching, filtering, cataloging and managing publications and their metadata have been created. In order to improve the availability of publications and other related data on the websites of the SGM RAS, the Wiki – Geology of Russia system has been developed. This system is a thematic rubric in the direction of "Mineral deposits of Russia", with an additional topic "Mineralogy". All articles must have a link to the source of information from the archive of scientific publications and, optionally, additional links on similar topics. Wiki – Geology of Russia is the first step in creating a knowledge base on mineral deposits.

Keywords: Wiki – Geology of Russia, knowledge management systems, repository.

The strategy of information retrieval in information retrieval systems and the assessment of the students’ competencies

Алла Александровна Витухновская
413-434
Abstract:

The article is devoted to the consideration of information retrieval strategies in information retrieval systems (IRS). The preparatory stage of information retrieval is analyzed in detail, allocated simple and complex objects and aspects of search; the rule for dividing the request for subqueries is formulated. The role of logical operations for the construction of a search strategy is substantiated, the rules for designing and implementing search strategies in information retrieval systems are proposed. The results of the questioning of students are analyzed, and it’s possible to state that many of them are not ready to use logical operations correctly in the process of information retrieval in information retrieval systems.

Keywords: information retrieval technology, information retrieval strategy, information retrieval systems, query language, logical operations, information retrieval competencies, students, questionnaires.

Semantic Services of the Digital Ecosystem Ontomath for Mathematical Education

Olga Avenirovna Nevzorova, Evgeny Konstantinovich Lipachev, Konstantin Sergeevich Nikolaev
538–569
Abstract:

We present a set of semantic services developed by us to support the educational process in mathematics. The functionality of these services is based on the use of mathematical ontologies OntoMathEdu and OntoMathPRO. The ontology of professional mathematical knowledge OntoMathPRO is designed to classify and systematize the concepts of professional mathematics and includes several important areas of mathematics. Educational mathematical ontology OntoMathEdu systematically represents knowledge on the training course “Planimetry”. For the use of ontologies in educational applications, an approach to the design of prerequisite relations in these ontologies has been developed. To support mathematical education, we have developed: a service for semantic search by mathematical formulas, a service for semantic annotation of educational materials, a service for visualizing subgraphs of the OntoMathEdu ontology semantic network, a parallel formal/informal corpus of mathematical statements, a system for automatically generating test questions in mathematical disciplines.


We provide examples of successful application of the developed software tools.


The created software tools are built into the OntoMath digital ecosystem. This ecosystem implements the interaction of semantic services for managing mathematical knowledge.

Keywords: Digital ecosystem, OntoMath ecosystem, ontology, OntoMathPRO mathematical ontology, OntoMathEdu educational ontology, prerequisite relation, semantic service.

Система Соционет как платформа для разработки научных информационных ресурсов и онлайновых сервисов

С.И. Паринов, В.М. Ляпунов, Р.Л. Пузырев
Abstract: В целях формирования единой сетевой инфраструктуры (ЕСИ) поддержки научно-образовательной деятельности необходимо наличие технической и организационной "платформы", которая определит общие правила для создания совместимых с ЕСИ "продуктов", и даст пользователям необходимый инструментарий и/или поддержку для конструирования информационных ресурсов и онлайновых сервисов, интегрированных с ЕСИ.
Система Соционет предлагает разработчикам платформу как для создания собственных информационных ресурсов, интегрированных в единое профессиональное информационное пространство, так и для конструирования онлайновых сервисов, которые будут работать с данными единого информационного пространства.

Semantic Recommendation Service for Assigning UDC Code to Mathematical Articles

Olga Avenirovna Nevzorova, Damir Albertovich Almukhametov
203–224
Abstract:

Classification of documents with the assignment of classifier codes is a traditional way of systematizing and searching for documents on a specific topic. The Universal Decimal Classification (UDC) underlies the systematization of knowledge presented in libraries, databases and other information repositories. In Russia, UDC is an obligatory attribute of all book production and information on natural and technical sciences. The choice of classification codes is associated with the analysis of the structure of the classifier tree and is traditionally decided by the author of a scientific article. This article proposes a solution for automating the assigning the UDC classification code for a mathematical article based on a special resource – the OntoMathPRO ontology for professional mathematics, developed at Kazan Federal University. An approach to solving the problem is to create "code maps" for each classifying code in the UDC tree in the field of mathematics. Under the "code map" is meant a weighted set of all extracted, with the help of OntoMathPRO ontology, mathematical named entities from the collection of articles with a given UDC code. The creation of "code maps" is based on the hypothesis that the choice of the UDC code is determined by a certain set of classifying features that can be represented by classes from the OntoMathPRO ontology. The proposed hypothesis was tested and confirmed in the paper. The hypothesis was tested on a collection of mathematical articles An approach to solving the problem is to create "code maps" for each classifying code in the UDC tree in the field of mathematics. Under the "code map" is meant a weighted set of all extracted, with the help of OntoMathPRO ontology, mathematical named entities from the collection of articles with a given UDC code. The creation of "code maps" is based on the hypothesis that the choice of the UDC code is determined by a certain set of classifying features that can be represented by classes from the OntoMathPRO ontology. The proposed hypothesis was tested and confirmed in the paper.  The hypothesis was tested on a collection of mathematical articles published during 1999-2009 in the "Izvestiya VUZov. Mathematics" journal. 

Keywords: the Universal Decimal Classification, code map,, code map, the OntoMathPRO ontology, mathematical article.
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