PathGraph: querying and exploring big data graphs

Colazzo, Dario; Mecca, Vincenzo; Nolé, Maurizio; Sartiani, Carlo

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 / Conférence

Date

2018

Conference title

30th International Conference on Scientific and Statistical Database Management (SSDBM '18)

Conference date

2018-07

Conference city

Bozen-Bolzano

Conference country

Italy

Book title

SSDBM '18: Proceedings of the 30th International Conference on Scientific and Statistical Database Management

Book author

Böhlen, Michael; Gamper, Johann; Sacharidis, Dimitris

Publisher

ACM - Association for Computing Machinery

Published in

New York, NY

ISBN

978-1-4503-6505-5

Pages

1-4

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 data