Abstract:

An ontological design approach was used to describe the semantics of some boundary value problems in the LibMeta digital library. To describe problems in the LibMeta library, connections of terms and concepts with classical definitions of the mathematical encyclopedia and other primary sources have been established. Establishing links allows you to form a dictionary and thesaurus of the applied subject area of new boundary value problems and place the results in the semantic environment of the digital library. Examples of this approach are demonstrated using the capabilities of the LibMeta semantic library, which contains a digitized version of the mathematical encyclopedia, encyclopedia of mathematical physics, classifiers, and applied mathematical thesauri and dictionaries. New terms from publications, after being added to the content of the library, were reflected with links in the mathematical encyclopedia. The thesaurus for problems in the elasticity theory domain was created for the first time by integrating subject dictionaries, classifiers, metadata of specialized journal publications and encyclopedic content of the LibMeta library. The purpose of such research is to provide the user with additional services in the search for publications in the applied scientific field.

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: The main projects that have been implemented in the Computing Center named A.A. Dorodnitsyna of the Russian Academy of Sciences (CC RAS) for the last 20 years, that is, since 1998, are analyzed. One of the first was the implementation of the pilot project “Integrated Information Resource System (ISIR) RAS”. The successful completion of this project allowed the development of work on the integration of heterogeneous scientific information resources into the general academic scientific information system. An important stage was the project of creating the Unified Scientific Information Space (ENIP) of the RAS. This project was based on the subsystem “Scientific Institute of the Russian Academy of Sciences”, created at the CC of the Russian Academy of Sciences and the Center for Scientific Telecommunications (CNTK) of the Russian Academy of Sciences. Considering the importance of building digital libraries, in 2006 the Russian Academy of Sciences adopted the target scientific program “Creating the Central Bank “Scientific Heritage of Russia”, in accordance with which the digital library was implemented. The created GeoMeta Portal is a standardized and decentralized spatial information management environment designed to access geodatabases, map products and associated metadata from various sources, facilitating the exchange of spatial information between organizations and its sharing via the Internet. Currently, the main line of work is the LibMeta digital personal semantic library. The main task of this system is to provide the user with a unified view for the possibility of automated extraction of information of interest to him on a particular subject area.

Abstract:

The problem of presenting scientific results of academic institute in a digital environment is considered. A new look at the knowledge space of a scientific institute constitutes a natural stage in the development of WEB technologies. The data structure inherent in previous studies allows you to organize search and navigation through them using a knowledge graph, like a version of the semantic library LibMeta. The knowledge graph gives a more complete and high-quality idea of the knowledge space, often removing the cognitive load in the perception of complex structures and data connections.