Abstract
The prevalence and the rapid growth of interconnected data have sparked the rise of graph models and systems focusing on the management of large graphs now available both in research and industry. The property graph model allows the representation of information through multigraphs where nodes and edges can have labels and properties (i.e., key-value pairs). The model is becoming very popular and widespread, however related data management technology still faces many challenges, limiting the wide adoption of the model. In this vision paper, we present directions for future work in the domain focusing on the availability of a single declarative graph language, data integration, and scalable data processing. In our view, these areas represent key challenges for advancing research and practical solutions in the domain.
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Acknowledgments
The work reported in this paper is implemented in the framework of H.F.R.I call “Basic research Financing (Horizontal support of all Sciences)” under the National Recovery and Resilience Plan “Greece 2.0” funded by the European Union – NextGenerationEU (H.F.R.I. Project Number: 16819).
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Kondylakis, H., Efthymiou, V., Troullinou, G., Ymeralli, E., Plexousakis, D. (2024). Property Graphs at Scale: A Roadmap and Vision for the Future (Short Paper). In: Almeida, J.P.A., Di Ciccio, C., Kalloniatis, C. (eds) Advanced Information Systems Engineering Workshops. CAiSE 2024. Lecture Notes in Business Information Processing, vol 521. Springer, Cham. https://doi.org/10.1007/978-3-031-61003-5_16
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