Abstract:

The article introduces the analysis of the concepts "information retrieval activity" and "information retrieval competencies", as well as defines the place of information retrieval activity in the educational activity of students of universities.

We conducted a questionnaire design of the first and second year students for studying their knowledge of the diversity of information retrieval systems and the ability to adequately choose information retrieval systems for thematic, targeted and factual information retrieval. The students were offered a list of 14 answers, including both traditional and electronic information systems.

The results of analysis show, that the students are familiar with a limited range of information retrieval systems, and most often use the Internet search engine for searching information. Most students ignore traditional bibliographic systems, as well as information systems, which require special knowledge and skills of using search strategies for use.

Obviously, it is necessary to carry out purposeful activity on formation of information retrieval competencies of pupils and students based on the special training courses.

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.

Abstract:

The problem of finding the most relevant documents as a result of an extended and refined query is considered. For this, a search model and a text preprocessing mechanism are proposed, as well as the joint use of a search engine and a neural network model built on the basis of an index using word2vec algorithms to generate an extended query with synonyms and refine search results based on a selection of similar documents in a digital semantic library. The paper investigates the construction of a vector representation of documents based on paragraphs in relation to the data array of the digital semantic library LibMeta. Each piece of text is labeled. Both the whole document and its separate parts can be marked. The problem of enriching user queries with synonyms was solved, then when building a search model together with word2vec algorithms, an approach of "indexing first, then training" was used to cover more information and give more accurate search results. The model was trained on the basis of the library's mathematical content. Examples of training, extended query and search quality assessment using training and synonyms are given.

Abstract: Virtual research centre of digital preservation in Europe provides a natural basis for long-term consolidation of digital preservation research and expertise. Spatial Data Infrastructure will cover technical methods for preservation, access and most importantly re-use of data holdings over the whole lifecycle; legal and economic issues including costs and governance issues as well as digital rights; and outreach within and outside the consortium to help to create a discipline of data curators with appropriate qualifications. Main tasks of Spatial Data Infrastructure SDI development are building global infrastructure for IT and geodata; satellite information harmonization; usage of agreed upon set of standards; clear documentation describing the parts of the system; interoperability between independently created applications and databases; common standards within their interfaces, protocols and data formats; and finally support of a general data policy for data creation, access, and support of satellite information. Fundamental principle of Russian segment of SDI is providing interoperability – the ability of interaction for heterogeneous services and data catalogues within the bounds of a unified informational system. The Russian segment of distributed informational system has been built on the basis of EOLI-XML and SSE technologies.

Abstract:

Thematic information search is used in various fields of activity. The use of thematic analysis tools to search for conferences allows you to increase the completeness of the search and coverage of conferences, helps to expand the circle of scientific communication of young scientists and the formation of closer scientific connections. The search algorithms developed by the authors use the co-authorship graph and the reference set of authors. The set can be obtained using methods of thematic search of experts or based on given samples. The developed algorithms are language insensitive and take into account the authority of conferences in the scientific community. Approbation was carried out on the data of the scientometric system IAS ISTINA.

Abstract:

The use of modern methods of thematic analysis for the analytical processing of information is currently used in almost all areas of human activity, including scientometrics. Many scientometric and citation systems, including the world famous WoS, Scopus, Google Shcolar, develop thematic categories for searching and processing information. Most important tasks that can be solved using thematic classification methods are: assessment of the dynamics of the development of thematic areas in the organization, country and in world science; search for articles on a given topic; search and assessment of the authority of experts; search for journal for publication and other relevant tasks. The Lomonosov Moscow State University is currently developing and using the system ISTINA. In this project, algorithms have been created that solve some of the problems listed. Scientific research is underway to create new effective mathematical models and algorithms in this area.

Abstract: We describe hereby the methodology and technology for creating of the multi-purposed information environment ‘T System’ based on the extension of the digital library T-Libra. The environment is destined for the integration of resources and services, which a typical for digital library with flexible full-text search, virtual museum, digital archive, research laboratory and educational server. The methodological basis this sort of extension is a hybrid two-level ontology based on interaction of functional systems (top level), concepts library and thesauri library (lower level). The technological basis of extension is an administrative division, which has tools for flexible set-up of T-System’s, as well as an unified search system includes the mechanisms of nonlinear cascade inquiries, which of that generate a relevant functional systems and combine the results of full-text search, related thesauri and concepts, text metadata and non-text objects of different modalities (graphics, sound, video etc.). The above-mentioned environment is designed in three-tier architecture (Web-browser / Web-server + Application server / DB server) with using of special indexing system for increase of search effectiveness, as well as of external logic which is built-up in Application Server.

Abstract:

The article describes the problems and features of information retrieval activity of students amid the extreme transition of universities to remote education. The results of a student survey are described, allowing to gain some initial insights into the information retrieval competencies of students in a new reality, when the only opportunity for them is remote access to electronic information systems and electronic educational resources. The competencies necessary for effective information retrieval in a remote and blended teaching have been listed and characterized.

Abstract: В статье обсуждается вопрос построения системы глобального поиска по библиотечным каталогам с использованием протокола Z39.50. Дается краткое описание текущего состояния корпоративных библиотечных систем в России. Предлагается подход к построению поиска, основанный на полностью асинхронном выполнении операций, динамической модификации запросов, поддержке разнородных форматов описания данных в каталогах и, в конечном итоге, самоадаптации системы поиска к конкретным поисковым возможностям каждого библиотечного каталога. Дается описание полученных результатов и приводится пример практической реализации представленных идей в виде веб-приложения Сигла.

Abstract: Possibilities of query expansion with subject area thesaurus are discussed. The role of the context defined by thesaurus term links is both to refine the query and to increase the size of the sample on the query. Of particular importance is the process of expanding the query for scientific subject areas where the search based on special terminology. In this case, thesauruses of subject areas must be used to minimize the occurrence of information noise. The proposed approach takes into account the application of similar terminology in various subject areas. Examples of the use of thesaurus of separate sections of equations of mathematical physics and related fields demonstrate the effectiveness of the chosen approach of research. By linking to concepts of information resources of other areas of knowledge, the extension of the information query captures search fields of remote subject areas and various types of data, texts, symbolic, audio and video archives. Research shows that expanding the query based on context semantics improves the search quality of scientific publications in digital information and increases the effectiveness of scientific interdisciplinary research.

Abstract: This article considers approach to intelligent search of complex objects in different types of texts with structural markup which can be used for Big Data processing. We research two types of data entry: relational databases, which use their schemes as structural markup, and full-text scientific documents containing mathematical expressions (formulae). For such full-text documents we suggest additory automated markup to allow formula search. In both cases we use natural language texts, which are semistructured data, as data source for building ontology and conducting search at a later stage. For relational databases those are comments to table and table attribute names; for scientific documents (articles, monographs, etc.) it is a text content of marked up documents.

Abstract:

The article is devoted to the development of a search and indexing system for audio files using Automatic Speech Recognition (ASR) and Elasticsearch. Current Russian-language audio file transcription systems have been analyzed, and Whisper has been chosen as the best one. An algorithm for optimizing transcription speed using parallelization of file processing processes has been developed, and its effectiveness has been demonstrated. A microservice architecture-based system has been built, capable of indexing audio file content and their metadata for search purposes. The research results show that the proposed approach can be applied to create efficient and flexible systems for searching and analyzing audio information.

Abstract: During the last decades scientometric techniques have been used for research activity stimulation. Number of published articles and number of their citation counts are among the most important scientometric parameters. In an automated environment, when the publications metadata is gathered from various sources, correct linking of original papers with their translations into different languages is extremely important. In the paper we show that the known text similarity measures are inefficient in the context of article linkage problem. We propose a method for semi-automatic article linkage using statistical data on authors publication activities only. This approach may be used for linking articles without training for the language of translation. The method was evaluated on real-world collection of publications metadata of ISTINA information system.

Abstract:

Methods for creating digital mathematical collections that include unstructured sets of documents are presented. These sets contain materials from scientific conferences, as well as articles from the archives of mathematical journals of the "pre-digital" period.

Using the software tools of the metadata factory of the digital mathematical library Lobachevskii DML, a mandatory set of metadata for digital collection documents was formed. To refine and replenish the metadata sets, knowledge extraction methods from Wikidata were used.

To search Wikidata for information about digital collection documents and their authors, a system of SPARQL queries has been developed. A set of Wikidata entities is defined, which determine the features of the search, as well as the subsequent filtering of the results.

Methods for clarifying and supplementing the bibliographic references given in the articles are proposed. When forming the metadata of documents of retrocollections, a search was made in Wikidata for information about the years of life of the authors of articles, as well as URLs of web pages with information about articles and their authors. The results of the formation of several new digital collections of the Lobachevskii-DML digital library are presented.

Abstract: В настоящей статье делается попытка очертить круг проблем, связанных с созданием и использованием языковых средств электронных библиотек.
Актуальность данной задачи не вызывает сомнений. Бурное развитие информатики в последние годы, в том числе невероятно быстрое развитие Интернета породили массовое создание электронных информационных ресурсов по всем областям знания и в самых различных видах деятельности. Специалистам очевидна необходимость организации этих ресурсов в систематически организованные массивы, в которых было бы удобно и эффективно проводить информационный поиск, в том числе неподготовленному пользователю. Очевидно также, что для этой цели нужны адекватные языковые средства.
Интернет стал практически единой средой для создания и размещения информационных ресурсов и для поиска в них. При этом, с одной стороны, он предоставляет множество возможностей, с другой стороны, накладывает определенные ограничения на выбор и применение языковых средств. Класс информационных технологий, направленный на организацию электронных ресурсов в условиях глобальных сетей и организации поиска в них, стал называться электронными или цифровыми библиотеками. Проблематика электронных библиотек (ЭБ) в целом достаточно полно изложена в работе [1]. Обсуждение понятия ЭБ и связанных с ним проблем имеется также в работе [2].
В то же время ощущается недостаток исследований, обобщающих опыт работ по созданию языковых средств, и ориентирующих разработчиков при выборе этих средств для ЭБ.

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.

Abstract:

Modern information and communication technologies, elements of digitalization are constantly and rapidly developing, which, in turn, has a direct impact on all spheres of human activity. In the light of recent events related to the collapse of the tourism business due to COVID-19, there is a great scientific interest in the service sector, namely in the field of "digital tourism". Digital tourism relies on the widespread adoption of new technologies such as social media and mobile technologies, smart devices and sensors to collect and use massive amounts of data to create new value propositions. In this regard, the authors set a goal – to present a review of the literature on "digital tourism" from the standpoint of scientific and media discourse. The authors present a comprehensive scientific approach, including the sequential implementation of all stages of the review, from the definition of the terminological core of the interdisciplinary direction, the formation of search queries, cascade search, selection and content analysis of materials to the identification and explication of contexts. The sources of information for preparing the review were publications from academic databases: Web of Science, Science-Direct, Scopus, GoogleScholar, eLibrary, Cyberleninka, as well as materials and publications in Russian-language media – Integrum.

The results obtained by the authors will be useful for scientists in identifying promising areas of research in the field of "digital tourism", as well as deepen their knowledge of mechanisms for searching, collecting and analyzing data and integrated and analytical environments.

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.

Abstract:

This article provides an overview of existing solutions for semantic analysis of mathematical documents, and also presents a method for automatic semantic analysis of documents in PDF format. This method searches for local variables in the text of the article, extracts their definitions and connects concepts with formulas. The advantage of the method over the existing ones is independence from the markup of the original PDF document, which expands the scope of the method. We provide estimates of recall, precision and F-measure for algorithms for finding variables and linking local variables with formulas. The resulting semantic markup of the document will be used to create a collection of documents suitable for the semantic formula search service, which is part of the set of services of the Lobachevskii-DML digital publishing system.

Abstract:

The aggregation of scientific information is essential for a comprehensive analysis of geological objects. This paper explores the potential and possibilities of semantic search to select thematically similar publications in the geological domain. Various language models are examined in the context of identifying similarities and differences in texts describing mineral deposits. After additional training of language models, a significant improvement in search results is demonstrated. Two web services are presented, based on a method for calculating the semantic similarity between texts and providing a quantitative assessment of their similarity.

Abstract:

The reason for this work was the 25th anniversary of the main search engines for our country, Yandex and Google, which happened one after another. This article is an attempt to describe some events from the history of the development of Internet navigation tools from the point of view of a witness (and partly a participant).

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).

Abstract:

The presented web database on experimental homolytic bond dissociation energies in organic compounds is intended for use by a wide range of theoreticians and practitioners in free access. The paper provides a brief overview of the sources of the dissociation energies of bonds of organic molecules, which are calculated theoretically, measured experimentally and estimated from kinetic and thermochemical experimental data, their presentation in the Internet database. A web database on homolytic bond dissociation energies of organic compounds is presented. The reported bond dissociation energies are calculated from experimental kinetic and thermochemical data. Descriptions of experimental data sources, classes of organic compounds and calculation methods are given. The logical structure of the database and the description of the main fields of its tables are given. The main search form of the database interface is presented and an example of a search result for a specific organic compound is given. Bond dissociation energies are calculated at a temperature of 298.15 K, which is usually absent in most sources. The analogs of the present base are inferior to the latter in taking into account temperature correlations. Currently, work is underway to analyze and analyze the published data taking into account the entropy effects.

Abstract: Institutional repositories (IR) help to increase public value, rating, prestige and visibility of both individual researchers and the whole universities. Repositories are filled with their own content and provide access to other researchers around the world. The number of IRs is growing due to the involvement in the work on their creation of university libraries. Libraries want all materials in the university is IR to be in demand by users and used in the educational and scientific process. Therefore, in addition to the repository’s own search engine and the search indexes ‘Google’ and ‘Yandex’, IR resources should be in the electronic catalog, that brings them as close as possible to the reader. The article describes the business processes introduced by Samara University library into the practice of working with electronic resources of the university repository.

Abstract: The number of scientific journals published in the world is very large. In this regard, it is necessary to create software tools that will allow analyzing thematic links of journals. The algorithm presented in this paper uses graphs of co-authorship for analyzing the thematic proximity of journals. It is insensitive to the language of the journal and can find similar journals in different languages. This task is difficult for algorithms based on the analysis of full-text information. Approbation of the algorithm was carried out in the scientometric system IAS ISTINA. Using a special interface, a user can select one interesting journal. Then the system will automatically generate a selection of journals that may be of interest to the user. In the future, the developed algorithm can be adapted to search for similar conferences, collections of publications and research projects. The use of such tools will increase the publication activity of young employees, increase the citation of articles and quoting between journals. In addition, the results of the algorithm for determining thematic proximity between journals, collections, conferences and research projects can be used to build rules in the ontology models for access control systems.