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2019 | OriginalPaper | Buchkapitel

The Principles and the Conceptual Architecture of the Metagraph Storage System

verfasst von : Valeriy M. Chernenkiy, Yuriy E. Gapanyuk, Georgiy I. Revunkov, Ark M. Andreev, Yuriy T. Kaganov, Ivan V. Dunin, Maxim A. Lyaskovsky

Erschienen in: Data Analytics and Management in Data Intensive Domains

Verlag: Springer International Publishing

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Abstract

This paper discusses an approach for active metagraph model storage. The formal definition of the metagraph data model is proposed. The example of data metagraph model is given. The formal definition of the metagraph function and rule agents are discussed. The example of a metagraph rule agent is given. It is shown that the distinguishing feature of the metagraph agent is its homoiconicity which means that it can be a data structure for itself. Thus, the metagraph agent can change both data metagraph fragments and the structure of other metagraph agents. The definition of active metagraph is given. The possible states of active metagraph elements and transitions between them are discussed. The conceptual architecture of the metagraph storage system based on active metagraph is proposed. The approaches for mapping the metagraph model to the flat graph, document-oriented, and relational data models are proposed. The experiments result for storing the metagraph model in different databases are given. It is shown that the flat graph model is most suitable for metagraph storage.

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Literatur
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Zurück zum Zitat Chernenkiy, V., Gapanyuk, Y., Kaganov, Y., Dunin, I., Lyaskovsky, M., Larionov, V.: Storing metagraph model in relational, document-oriented, and graph databases. In: Proceedings of the XX International Conference on Data Analytics and Management in Data Intensive Domains (DAMDID/RCDL 2018), Moscow, Russia, 9–12 October 2018, pp. 82–89 (2018). http://ceur-ws.org/Vol-2277/paper17.pdf Chernenkiy, V., Gapanyuk, Y., Kaganov, Y., Dunin, I., Lyaskovsky, M., Larionov, V.: Storing metagraph model in relational, document-oriented, and graph databases. In: Proceedings of the XX International Conference on Data Analytics and Management in Data Intensive Domains (DAMDID/RCDL 2018), Moscow, Russia, 9–12 October 2018, pp. 82–89 (2018). http://​ceur-ws.​org/​Vol-2277/​paper17.​pdf
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Zurück zum Zitat Chernenkiy, V., Gapanyuk, Y., Revunkov, G., Kaganov, Y., Fedorenko, Y., Minakova, S.: Using metagraph approach for complex domains description. In: Proceedings of the XIX International Conference on Data Analytics and Management in Data Intensive Domains (DAMDID/RCDL 2017), Moscow, Russia, 9–13 October 2017, pp. 342–349 (2017). http://ceur-ws.org/Vol-2022/paper52.pdf Chernenkiy, V., Gapanyuk, Y., Revunkov, G., Kaganov, Y., Fedorenko, Y., Minakova, S.: Using metagraph approach for complex domains description. In: Proceedings of the XIX International Conference on Data Analytics and Management in Data Intensive Domains (DAMDID/RCDL 2017), Moscow, Russia, 9–13 October 2017, pp. 342–349 (2017). http://​ceur-ws.​org/​Vol-2022/​paper52.​pdf
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Zurück zum Zitat Allemang, D., Hendler, J.A.: Semantic Web for the Working Ontologist. Effective Modeling in RDFS and OWL, 2nd edn. Morgan Kaufmann/Elsevier, Burlington/Amsterdam (2011) Allemang, D., Hendler, J.A.: Semantic Web for the Working Ontologist. Effective Modeling in RDFS and OWL, 2nd edn. Morgan Kaufmann/Elsevier, Burlington/Amsterdam (2011)
Metadaten
Titel
The Principles and the Conceptual Architecture of the Metagraph Storage System
verfasst von
Valeriy M. Chernenkiy
Yuriy E. Gapanyuk
Georgiy I. Revunkov
Ark M. Andreev
Yuriy T. Kaganov
Ivan V. Dunin
Maxim A. Lyaskovsky
Copyright-Jahr
2019
DOI
https://doi.org/10.1007/978-3-030-23584-0_5