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Conceptual Graphs Based Modeling of MongoDB Data Structure and Query

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Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 11530))

Abstract

NoSQL data stores do not enforce any structural constraints on the data, they are usually referenced as schema-less data. On the other hand, for managing and retrieving data, its inherent structure proves to be significant. Especially for modeling purposes, conceptual design of semi-structured data proves to be an important task. MongoDB document store is the most popular of NoSQL systems, ranked December 2018 on the first place among similar systems by DB-Engines (www.db-engines.com). In this paper, we present a modeling method for MongoDB data structure based on Conceptual Graphs (CGs). A common interface is proposed for data structure modeling and queries in MongoDB.

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Notes

  1. 1.

    https://dblp.uni-trier.de.

  2. 2.

    http://www.cs.ubbcluj.ro/~ivarga/ConceptualGraph/FlatRefersStructure.png.

  3. 3.

    http://valutazione.unibas.it/gii-grin-scie-rating/.

  4. 4.

    http://www.cs.ubbcluj.ro/~ivarga/ConceptualGraph/cgMongoSchema.txt.

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  5. Varga, V., Săcărea, C., Molnar, A.E.: Conceptual graphs based modeling of semi-structured data. In: Chapman, P., Endres, D., Pernelle, N. (eds.) ICCS 2018. LNCS (LNAI), vol. 10872, pp. 167–175. Springer, Cham (2018). https://doi.org/10.1007/978-3-319-91379-7_13

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Correspondence to Viorica Varga .

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Varga, V., Andor, CF., Săcărea, C. (2019). Conceptual Graphs Based Modeling of MongoDB Data Structure and Query. In: Endres, D., Alam, M., Şotropa, D. (eds) Graph-Based Representation and Reasoning. ICCS 2019. Lecture Notes in Computer Science(), vol 11530. Springer, Cham. https://doi.org/10.1007/978-3-030-23182-8_21

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  • DOI: https://doi.org/10.1007/978-3-030-23182-8_21

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-23181-1

  • Online ISBN: 978-3-030-23182-8

  • eBook Packages: Computer ScienceComputer Science (R0)

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