Archigraphs As A Promising Concept For The Development Of Data And Knowledge Storage Systems

The article describes one of the types of complex graphs – an archigraph, which, unlike conventional graphs with only vertices and edges, can contain an arbitrary number of different types of elements and has advanced means of structuring and encapsulating its individual parts. Due to these properties, an archigraph can become a good conceptual model for creating new generations of data and knowledge storage systems. This is especially relevant for systems that store a large number of elements, or systems which elements are diverse in their characteristics. The transition to the use of the archigraph model is demonstrated for the file systems, database management systems, data warehouses, blockchain platforms, data lake management systems and various architectures derived from data lakes: Data Lakehouse, Data Space, Data Fabric, Data Mesh, in which Data Lake is an integral component. Moreover, we show the possibility of expanding the basic capabilities of an archigraph by making its elements more complex and ensuring work with sets and logical operations. Such advanced archigraphs are proposed to be used in constructing knowledge lakes used by intelligent systems. An approximate composition of the Knowledge Lake elements we show in this work.

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Published
2024-12-15
DOI
https://doi.org/10.1109/bigdata62323.2024.10825028
Primary Topic
Graph Theory and Algorithms
Type
article
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article

Archigraphs As A Promising Concept For The Development Of Data And Knowledge Storage Systems

Anna S. Zenger, Artem A. Sukhobokov, Alexandra R. Mironova, Artem A. Vetoshkin et al.
Graph Theory and Algorithms
article

Archigraphs As A Promising Concept For The Development Of Data And Knowledge Storage Systems

Anna S. Zenger, Artem A. Sukhobokov, Alexandra R. Mironova, Artem A. Vetoshkin, Vitaly Baklikov
article en

Abstract

The article describes one of the types of complex graphs – an archigraph, which, unlike conventional graphs with only vertices and edges, can contain an arbitrary number of different types of elements and has advanced means of structuring and encapsulating its individual parts. Due to these properties, an archigraph can become a good conceptual model for creating new generations of data and knowledge storage systems. This is especially relevant for systems that store a large number of elements, or systems which elements are diverse in their characteristics. The transition to the use of the archigraph model is demonstrated for the file systems, database management systems, data warehouses, blockchain platforms, data lake management systems and various architectures derived from data lakes: Data Lakehouse, Data Space, Data Fabric, Data Mesh, in which Data Lake is an integral component. Moreover, we show the possibility of expanding the basic capabilities of an archigraph by making its elements more complex and ensuring work with sets and logical operations. Such advanced archigraphs are proposed to be used in constructing knowledge lakes used by intelligent systems. An approximate composition of the Knowledge Lake elements we show in this work.

Bauman Moscow State Technical University (RU)
Openalex Percentile: Top 74%
Graph Theory and Algorithms
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Archigraphs As A Promising Concept For The Development Of Data And Knowledge Storage Systems — Anna S. Zenger, Artem A. Sukhobokov, et al. · (2024) | TGRS Research Map | TGRS