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http://hdl.handle.net/1942/38914
Title: | Models and Query Languages for Temporal Property Graph Databases | Authors: | SOLIANI, Valeria | Issue Date: | 2022 | Publisher: | Springer NAture | Source: | Chiusano, Silvia; Cerquitelli, Tania; Wrembel, Robert; Norvaa}g, Kjetil; Catania, Barbara; Vargas-Solar, Genoveva; Zumpano, Ester (Ed.). New Trends in Database and Information Systems. ADBIS 2022, Springer NAture, p. 623 -630 | Series/Report: | Communications in Computer and Information Science | Series/Report no.: | 1652 | Abstract: | Although property graphs are increasingly being studied by the research community, most authors do not consider the evolution of such graphs over time. However, this is needed to capture a wide range of real-world situations, where changes normally occur. In this work, we propose a temporal model and a high level query language for property graphs and analyse the real-world cases where they can be useful, with focus on transportation networks (like road and river networks) equipped with sensors that measure different variables over time. Many kinds of interesting paths arise in this scenario. To efficiently compute these paths, also path indexing techniques must be studied. | Keywords: | Property graphs;Temporal graphs;Sensor networks | Document URI: | http://hdl.handle.net/1942/38914 | ISBN: | 978-3-031-15742-4 | DOI: | 10.1007/978-3-031-15743-1_57 | ISI #: | 000892609000056 | Rights: | 2022 Springer Nature Switzerland AG | Category: | C1 | Type: | Proceedings Paper | Validations: | ecoom 2023 |
Appears in Collections: | Research publications |
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