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Querying Temporal Property Graphs

Abstract : Nowadays, in many real-world problems, objects are characterized by properties and interactions that evolve over time. Several temporal property graph models associated with query languages are proposed in the literature to manage the temporal and interconnectivity features of such problems. However, they are not widely used due to the lack of a conceptual view. To overcome this drawback, we propose useroriented operators to analyze temporal evolution of property graphs. We also define translation rules between our operators and existing property graph query languages to implement them directly. To illustrate the feasibility of our solution, we present two case studies based on a Neo4j and an OrientDB implementations of our operators and show some real-world querying examples.
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https://hal.archives-ouvertes.fr/hal-03694272
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Submitted on : Monday, June 13, 2022 - 3:20:38 PM
Last modification on : Monday, July 4, 2022 - 8:48:55 AM

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Landy Andriamampianina, Franck Ravat, Jiefu Song, Nathalie Vallès-Parlangeau. Querying Temporal Property Graphs. Advanced Information Systems Engineering: 34th International Conference, CAiSE 2022, Leuven, Belgium, June 6–10, 2022, Proceedings, 13295, Springer International Publishing, pp.355-370, 2022, Lecture Notes in Computer Science book series (LNCS), 978-3-031-07471-4. ⟨10.1007/978-3-031-07472-1_21⟩. ⟨hal-03694272⟩

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