PathGraph: querying and exploring big data graphs
Colazzo, Dario; Mecca, Vincenzo; Nolé, Maurizio; Sartiani, Carlo (2018), PathGraph: querying and exploring big data graphs, in Böhlen, Michael; Gamper, Johann; Sacharidis, Dimitris, SSDBM '18: Proceedings of the 30th International Conference on Scientific and Statistical Database Management, ACM - Association for Computing Machinery : New York, NY, p. 1-4. 10.1145/3221269.3222331
Type
Communication / ConférenceDate
2018Conference title
30th International Conference on Scientific and Statistical Database Management (SSDBM '18)Conference date
2018-07Conference city
Bozen-BolzanoConference country
ItalyBook title
SSDBM '18: Proceedings of the 30th International Conference on Scientific and Statistical Database ManagementBook author
Böhlen, Michael; Gamper, Johann; Sacharidis, DimitrisPublisher
ACM - Association for Computing Machinery
Published in
New York, NY
ISBN
978-1-4503-6505-5
Pages
1-4
Publication identifier
Metadata
Show full item recordAuthor(s)
Colazzo, Dario
Laboratoire d'analyse et modélisation de systèmes pour l'aide à la décision [LAMSADE]
Mecca, Vincenzo
università della Basilicata
Nolé, Maurizio
università della Basilicata
Sartiani, Carlo
università della Basilicata
Abstract (EN)
With the widespread diffusion of social networks and the dawn of data-intensive scientific applications, graphs became one of the foundations for modern data management applications. A key role in graph querying and analysis is played by Regular Path Queries, their extensions, and, in particular, GXPath. In this demo we will present PathGraph, a distributed GXPath query processor, and its web-based graphical interface.Subjects / Keywords
RPQs; Graphs; Big dataRelated items
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