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Published since 1998
ISSN 1562-5419
16+
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From the originator

Наталья Валентиновна Лукашевич
86-87
Abstract: -

Taking into Account the Structure of the Document in the Method of Automatic Annotation of Mathematical Concepts in Educational Texts

Konstantin Sergeevich Nikolaev
558-577
Abstract:

The enrichment of educational texts with semantic content (in particular, adding hyperlinks to the pages of the service that displays detailed information about concepts in the text) helps to increase the efficiency of students' assimilation of the material. The existing methods of semantic markup of educational texts do not take into account the structural features of such documents, which leads to excessive recognition of concepts. This article describes the development of the method of automatic annotation of mathematical concepts in educational mathematical texts by adding functionality to account for the structure of an educational document. The main purpose of the method is to process educational materials of the distance education course "Technology for solving planimetric problems". Following a single template when creating course pages allows you to apply an analysis of the web page markup and keywords used by the course creators. The main task in this process is to determine the type of table cell containing text fragments of educational materials. In accordance with the recommendations of the course creators, definitions should be highlighted in the cells containing the task statement, as well as in those blocks where the input data of the task is indicated. The type of table cells is determined by analyzing their attributes and searching for keywords in their contents. This limitation of recognizable text fragments will improve the student's perception of the course pages and improve the quality of learning.

Keywords: semantic analysis, mathematical ontology, didactic relations, mathematical education, document markup.

Converting Scanned Images of the Print History of the World to Knowledge: A Reference Model and Research Strategy

Дэвид Бирман, Дженнифер Трант
Abstract: Universal access to the knowledge contained in the comprehensive printed record of mankind is a goal that can be achieved within a decade. With appropriate public policies and the development and deployment of standards, not addressed in this paper as they are the subject of a separate processes, most of this knowledge could be provided free at the point of use while increasing the return to copyright holders over the life of copyright protected publications. With proper attention to the representation of contextual knowledge in print images and the interchange of raw forms of this data, national governments can ensure the emergence of the first integrated and comprehensive resource representing the print literature of the world. Human creativity and capabilities will be unleashed without regard to barriers previously imposed by limited access to information, barriers that effectively kept everyone, no matter how privileged, from having full access to universal print heritage and supported dramatic differences between a very few who had significant access and the overwhelming majority that had virtually none.

Semantic analysis of documents in the control system of digital scientific collections

Шамиль Махмутович Хайдаров
61-85
Abstract: Methods of the semantic documents parsing in digital control system of scientific collections, including electronic journals, offered. The methods of processing documents containing mathematical formulas and methods for the conversion of documents from the OpenXML-format in ТеХ-format considered. The search algorithm for the mathematical formulas in the collections of documents stored in OpenXML-format designed. The algorithm is implemented as online-service on platform science.tatarstan.
Keywords: semantic analysis, publishing systems.

Automatic sentiment analysis towards the entity and its characteristics

Наталья Валентиновна Лукашевич
88-119
Abstract: The paper considers approaches to sentiment analysis towards a specific entity and its characteristics (aspects). To solve the aspect-oriented sentiment analysis task, it is necessary to extract aspect terms from texts, to classify or cluster aspect terms into aspect categories, to determine the sentiment expressed towards the specfic aspect. The paper also briefly presents SentiRuEval-2015 evaluation of aspect-oriented sentiment analysis systems in Russian.
Keywords: sentiment analysis, machine learning, topic modeling, sentiment lexicon, SentiRuEval.

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.

Methods and Algorithms for Increasing Linked Data Expressiveness (Overview)

Olga Avenirovna Nevzorova
808-834
Abstract: This review discusses methods and algorithms for increasing linked data expressiveness which are prepared for Web publication. The main approaches to the enrichment of ontologies are considered, the methods on which they are based and the tools for implementing the corresponding methods are described.The main stage in the general scheme of the related data life cycle in a cloud of Linked Open Data is the stage of building a set of related RDF- triples. To improve the classification of data and the analysis of their quality, various methods are used to increase the expressiveness of related data. The main ideas of these methods are concerned with the enrichment of existing ontologies (an expansion of the basic scheme of knowledge) by adding or improving terminological axioms. Enrichment methods are based on methods used in various fields, such as knowledge representation, machine learning, statistics, natural language processing, analysis of formal concepts, and game theory.
Keywords: linked data, ontology, ontology enrichment, semantic web.

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.

Interactive Structure Editor for Scenario Prototyping Tool

Gulnara Faritovna Sahibgareeva, Vlada Vladimirovna Kugurakova
1184-1202
Abstract:

The task of automating the routine work of computer game writers and narrative designers, set forth in earlier works, has been continued in the presented work. The issues of visualization of branching narrative structures of computer games are considered, the analysis of various approaches to visualization of the plot and other important components of a video game is performed, a technological stack is selected and specific solutions for storing in the form of a structured script, allowing the generation of continuing narrative branches and testing of the narrative prototyping stage using the automatically generated text novelette are given.

Keywords: interactive storytelling, computer games, game script, visualization, branched structures, graphs, narrative prototyping, script prototype, GPT-2, ruGPT3, python, unity.

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.

Sentiment classification of reviews and twitter posts based on dictionaries

Елена Викторовна Тутубалина, Владимир Владимирович Иванов, Мария Загулова, Никита Мингазов, Ильсеяр Алимова, Валентин Малых
138-162
Abstract:

Sentiment analysis and opinion mining technologies are growing fast. This is mostly due to a rapid grow of the data sources consisting a vast amount of user opinions and reviews on a wide set of topics. In this paper we describe methods for sentiment analysis of reviews and short messages (tweets), as well as evaluation of results obtained during SentiRuEval-2015.

Keywords: information extraction, sentiment analysis, text classification, supervised learning.

Teaching Mathematical Disciplines Using the Mirera Digital Educational Platform

Alexander Georgievich Leonov
312-323
Abstract:

The article describes the experience of digital transformation of mathematical disciplines based on author's digital educational platform Mirera. The Mirera DEP is optimized for the Russian system of organization of higher education, focused on the development and delivery of courses that combine online and offline technologies for conducting the educational process. The Mirera DEP provides course authors with tools for developing computerized courses with automated verification of the correctness and independence of current and control tasks performed by students using artificial intelligence methods. Various original types of tests are built into the platform, supporting both in the description of tasks and in answer options, content in various formats, including TeX, sequences of elements (for automated testing of student knowledge of the structure of proof of course theorems or schemes for solving typical problems), semantic analysis of text responses, etc.

Keywords: adaptive learning, DEP Mirera, digital educational platform, programming, web applications.
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Russian Digital Libraries Journal

ISSN 1562-5419

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