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.

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. 

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.

Abstract: Collection development and library attendance changes in U.S. considered in light of growing use of electronic resources compared to resources on paper. Methods to increase usefulness of licensed databases, library online catalogs and web sites discussed. Metadata formats for description of electronic documents and collections, logical structures of electronic resources as well as standards for metadata harvesting and sharing briefly reviewed. Changes in library education and new responsibilities of librarians dealing with electronic resources considered. Preservation of electronic resources, their impact on students and libraries discussed.

Abstract: Electronic document within the national legal deposit system. Preparation of a document for the electronic publication process, including the access rights definition. Special rights of the libraries in conditions of the knowledge nodes development.

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 OntoMath^Edu and ontology of professional mathematics OntoMath^PRO. 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 OntoMath^PRO 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.

Abstract:

The article describes approaches to replenishing metadata of documents in electronic collections of a digital mathematical library. An open resource of the semantic network is used as a replenishment. For this purpose, software tools have been developed to search for the necessary data and include it in a metadata set. A separate block of metadata in a scientific article is formed from the affiliation of the authors presented in the document. Typically, the ownership that occurs in a document does not contain sufficient data to generate a set of metadata. A method has been developed for providing author affiliation metadata, providing an open register of scientific organization identifiers (ROR), as well as means for making connections between ROR and other semantic chains. This method was applied to the collections of articles of the journal “Digital Libraries” for 2021–2022.

The article describes a method for connecting the Lobachevsky digital mathematical library-DML to new electronic collections, and describes a method for transforming metadata into a digital format available for downloading.

Abstract:

Interdisciplinary thematic projects implemented by means of the electronic library "Scientific heritage of Russia" allow integrating objects of various nature (printed publications, archival documents, multimedia objects) into a single thematic resource and making it accessible to users. The approaches to the formation of interdisciplinary thematic collections in the digital space of scientific knowledge are investigated. Algorithms for the formation and presentation of a digital interdisciplinary collection are presented. The method of creation and presentation of virtual collections in the information environment of the electronic library "Scientific heritage of Russia". The main types of sections present in most projects are indicated. The main stages of the formation of an interdisciplinary collection in the digital space of knowledge have been formed and described, including the composition of the collection sections, sources for presenting collection materials, dispatching work with sources, the formation of metadata, the main types of sections, etc. An example of the application of the content formation methodology for creating an interdisciplinary collection is given.

Abstract:

Currently, the major part of transmitted and stored data is unstructured, and the amount of unstructured data is growing rapidly each year, although it is hardly searchable, unqueryable, and its processing is not automated. At the same time, there is a growth of electronic document management systems. This paper proposes a solution for extracting data from paper documents considering their structure and layout based on document photos. By examining different approaches, including neural networks and plain algorithmic methods, we present their results and discuss them.

Abstract:

The article reveals the essence of the expert competence of the detection of borrowing (DB), provides the definition of the levels of development of the expertise of DB, suggests the developed methodology "Determining the level of development of educational expertise of experts in the detection of borrowing in documents", discloses the principles of development of expert competence.

Abstract:

In 2023, the 100th anniversary of the birth of the outstanding scientist V.M. Glushkov was celebrated. More than 40 years ago, his book “Fundamentals of Paperless Informatics” was published, dedicated to various aspects of the use of electronic document management. In this monograph, the author substantiates the need for informatization of all aspects of life and shares his ideas about the future information society. However, his main project - the creation of a national automated system for recording and processing information OGAS - remained unrealized. The paper contains information from the biography of V.M. Glushkov, quotes from his monograph; describes the modern development of the ideas and forecasts described in it in relation to various spheres of society. The reasons for the failure of the OGAS project are also analyzed.