Abstract
The type of the data and especially the relationship among the data entities has changed in the last couple of years: beside the well-established relational data-model a new approach—the graph representation of the data and their connections—is becoming more and more common in the last couple of years. The graphs can describe large and complex networks—like social networks—but also capable of storing rich information about complex data. This was mostly of relational data-model trait before. This also can be achieved with the use of the knowledge representation tool called “hypergraphs”. To check the power of this tool in practice we propose two tools for testing: the HypergraphDB which is focusing on the concrete hypergraph theory. The other solution will be SAP HANA in-memory database system which has a “Graph Core” engine besides the relational datamodel.
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Acknowledgements
This work was supported by European Commission [grant number EFOP-3.6.3-VEKOP-16].
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Béleczki, A., Molnár, B., Sarkadi-Nagy, B. (2018). Storing Hypergraph-Based Data Models in Non-hypergraph Data Storage. In: Sieminski, A., Kozierkiewicz, A., Nunez, M., Ha, Q. (eds) Modern Approaches for Intelligent Information and Database Systems. Studies in Computational Intelligence, vol 769. Springer, Cham. https://doi.org/10.1007/978-3-319-76081-0_5
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