Software Module for Forming Digital Mathematical Space Based on Knowledge Graphs

The modern information space contains significant amounts of data, but they are often poorly structured, difficult to find, and not always correct. This creates additional difficulties for research, so digital spaces of scientific knowledge are currently being formed, in particular, based on knowled...

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Vydané v:Automatic documentation and mathematical linguistics Ročník 59; číslo Suppl 3; s. S238 - S244
Hlavní autori: Gurianov, V. I., Elizarov, A. M.
Médium: Journal Article
Jazyk:English
Vydavateľské údaje: Moscow Pleiades Publishing 01.11.2025
Springer Nature B.V
Predmet:
Automation
Computer Science
Data integrity
Data quality
Graphs
Human error
Information Storage and Retrieval
Knowledge representation
Libraries
Modules
Morality
Ontology
Python
Relational data bases
Scientific knowledge
Software
formation of digital spaces of scientific knowledge
knowledge graphs
digital space of scientific knowledge
automation of knowledge graph construction
ISSN:0005-1055, 1934-8371
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Shrnutí:The modern information space contains significant amounts of data, but they are often poorly structured, difficult to find, and not always correct. This creates additional difficulties for research, so digital spaces of scientific knowledge are currently being formed, in particular, based on knowledge graphs. To ensure information quality, such graphs are often manually filled with data, which is time-consuming. Therefore, the creation of a tool that provides the ability to automate process of filling a graph with data, as well as ensuring data quality, will simplify and speed up the process of forming digital spaces of scientific knowledge. Methods of automating the filling of the graph with data are proposed, including parallel control of their integrity. Based on the proposed methods, a software module has been developed, and the mechanisms of its functioning and its architecture are described.
Bibliografia:ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 14
ISSN:0005-1055
1934-8371
DOI:10.3103/S0005105525700840