Querying Temporal Property Graphs - Systèmes d’Informations Généralisées Accéder directement au contenu
Communication Dans Un Congrès Année : 2022

Querying Temporal Property Graphs

Résumé

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.
Fichier principal
Vignette du fichier
camera_ready_paper.pdf (1.48 Mo) Télécharger le fichier
Origine : Fichiers produits par l'(les) auteur(s)

Dates et versions

hal-03694272 , version 1 (13-06-2022)

Identifiants

Citer

Landy Andriamampianina, Franck Ravat, Jiefu Song, Nathalie Vallès-Parlangeau. Querying Temporal Property Graphs. 34th International Conference on Advanced Information Systems Engineering (CAiSE 2022), Jun 2022, Louvain, Belgium. pp.355-370, ⟨10.1007/978-3-031-07472-1_21⟩. ⟨hal-03694272⟩
117 Consultations
175 Téléchargements

Altmetric

Partager

Gmail Facebook X LinkedIn More