Despite the development of technical means, the processes associated with the search for complete and accurate scientific information in a huge number of data sources are becoming more complicated. To reach a new level in the use of information processing technologies, first of all, a transition to a semantically meaningful representation is necessary for scientific knowledge extracted from information in a digital environment. In modern conditions, characterized by multidisciplinary research, the desired effect can be achieved by developing universal approaches to the storage and presentation of scientific knowledge. These approaches are reflected in the concept of the Common Digital Space of Scientific Knowledge. The paper presents an overview of the basic concepts in this area, which are used both to represent the elements of space and to provide access to them not only for humans, but also for software agents. Semantic libraries are considered as tools for constructing the knowledge space.

The Common Digital Space of Scientific Knowledge (CDSSK) is a digital information environment aggregating heterogeneous information related to various aspects of scientific knowledge. One of the important functions of the CDSSK is to provide information for solving artificial intelligence problems, which makes it necessary to support data in a structure that complies with the rules of the semantic WEB. The features of the CDSSK are, on the one hand, the polythematics and heterogeneity of content elements, on the other hand, the high dynamics of the emergence of new types of objects and connections between them, which is due to the specifics of the development of science. At the same time, it should be possible to navigate through heterogeneous space resources using semantic links between them. The possibilities of the CDSSK are largely determined by the structure of the ontology of space, the model of which is proposed in this paper. Within the framework of the model, the hierarchical structuring of the CDSSK ontology is carried out; such elements as "subspace", "class of objects", "object", "attributes of an object", three types of pairwise relations of objects or attributes (universal, quasi-universal and specific) are distinguished and defined. The structure of each elements type is determined by a "reference book" of a unified type; specific values of attributes and relationships are contained in dictionaries of a unified structure. A class of "Formats" objects describing the rules for the formation of attributes and values of relationships is allocated. The formalization of CDSSK reference books and dictionaries representations is proposed. The proposed model allows you to simply add new types of objects, of their pairwise relationships and attributes to the space, as needed.

his article focuses on interaction between the Common Digital Space of Scientific Knowledge (CDSSK) and the National Electronic Library (NEB). The primary architectural features and objectives of the CDSSK are introduced. The features of the NEB structure, filing technology are examined, and the current composition of library collections is analyzed. The establishment and activities of the NEB are being considered within the legal framework. The areas of interaction between the CDSSK and the NEB are being proposed.

The work is a development of research conducted by the authors in the field of creating a Common Digital Space for Scientific Knowledge (CDSSK). Previous research has proposed a unified structure for representing the ontology of CDSSK elements (subspaces, classes and attributes of objects, relationships between objects or attributes). In the process of modeling the ontology using the example of the universal and a number of thematic subspaces of the CDSSK, the need for some adjustments to the structure of the ontology regarding CDSSK directories was revealed to ensure the possibility of describing nested data attributes. In addition, the concept of “data attribute value dictionary type” was introduced into the ontology; two types of dictionaries were defined – “static” and “dynamic”. This information makes it possible to simplify formal-logical control algorithms when generating CDSSK content. An indication of the dictionary type has been introduced into the structure of object attribute directories. The presented work describes the modified structure of the ontology using the example of 11 auxiliaries and 10 subject classes of the CDSSK universal subspace (USS). Examples of directories of each class, built in accordance with the ontology structure model, a list of object attributes and examples of static dictionaries are given.

The study examines the principle of creating virtual exhibitions as a means of integration into the Common Digital Space of Scientific Knowledge (CDSSK), information systems in the field of science and culture, with the aim of promoting science, ensuring access to information in various scientific fields, and drawing attention to current issues and achievements in the scientific sphere. The main methods of creating virtual exhibitions are formulated, including content selection and segmentation into main sections. In addition, a classification of virtual exhibitions into autonomous, remote, and combined is proposed. Special attention is paid to the methodology of creating virtual exhibition at the Moscow Center of the Russian Academy of Sciences. Using the example of an interdepartmental combined virtual exhibition, a detailed description of the "Mrs. Penicillin" exhibition dedicated to the creator of penicillin, Z.V. Ermolyeva, is provided.

One of the Common Digital Space of Scientific Knowledge (CDSSK) main components are the subject ontologies of individual thematic subspaces, which include the basic concepts related to this scientific area. The constructing subject ontologies task at the initial phase requires the array of key terms formation in a given scientific are with the subsequent establishment of links between them. A similar task is in the encyclopedias formation in terms of the articles (slots) list generating that determines their content. One of the sources for the formation of the key terms array can be the metadata of articles published in the leading scientific journals. Namely, the author's key terms ("keywords" in the terminology of the journals editors) quoted by the article. To make a conclusion about the possibility of using this approach to the subject ontologies formation, it is necessary to conduct the author's key terms array preanalysis, both in terms of real correspondence to the main areas of research in this science branch and in terms of the distribution of the certain terms occurrence frequency. This article presents the results of the occurrence frequency analysis of the author's key terms in Russian and English, carried out on the software processing basis of several thousand articles from leading Russian journals in mathematics, computer science and physics, reflected in the MathNet database. An assessment was made of the distribution of key terms correspondence (as phrases) and individual words to the Bradford's law, and the key terms cores within the thematic direction were identified.