2020
DOI: 10.1007/978-3-030-58817-5_15
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An Analytical Computing Infrastructure for Monitoring Dynamic Networks Based on Knowledge Graphs

Abstract: Dynamic network monitoring systems are typically designed to solve a predefined number of tasks, new requirements lead to expensive development efforts and sometimes even require changes in the system architecture. Knowledge graphs are powerful and flexible tools for information integration and supported by a set of standardized vocabularies and languages (the “Sematic Web” toolset). In this work, we discuss the application of knowledge graphs to develop and analyze an analytical computing infrastructure for a… Show more

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Cited by 9 publications
(4 citation statements)
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“…is article is a further development and generalization of the results of the authors research in the fields of the synthesis of relatively finite automata, the synthesis of knowledge graphs [19,20], and data acquisition systems in distributed heterogeneous CPS [21].…”
Section: The State-of-the-art Agile Architecture Systemsmentioning
confidence: 89%
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“…is article is a further development and generalization of the results of the authors research in the fields of the synthesis of relatively finite automata, the synthesis of knowledge graphs [19,20], and data acquisition systems in distributed heterogeneous CPS [21].…”
Section: The State-of-the-art Agile Architecture Systemsmentioning
confidence: 89%
“…One can define three main approaches to the implementation of AM: (i) the implementation of the model, i.e., using JAVA in the form of an object model, (ii) based on using ontologies [34], and (iii) based on using knowledge graphs [19,20,35,36]. Using JAVA to build models allows get minimal delays, but it is very expensive in terms of programming.…”
Section: Possible Approaches To Implementationmentioning
confidence: 99%
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“…In addition, TCO decrease was achieved by reducing the number of service personnel. A more detailed description of this solution can be found in [70,71]. This Example 1 (production system) illustrates the possibility of using the proposed approach to solve data acquisition problems.…”
Section: Use Casesmentioning
confidence: 99%