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PathGraph: Querying and exploring big data graphs

  • Univ. Paris-Dauphine
  • Università degli Studi della Basilicata

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

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.

Original languageEnglish
Title of host publicationScientific and Statistical Database Management - 30th International Conference, SSDBM 2018, Proceedings
EditorsMichael Bohlen, Johann Gamper, Dimitris Sacharidis, Peer Kroger
PublisherAssociation for Computing Machinery
ISBN (Electronic)9781450365055
DOIs
Publication statusPublished - 9 Jul 2018
Externally publishedYes
Event30th International Conference on Scientific and Statistical Database Management, SSDBM 2018 - Bolzano-Bozen, Italy
Duration: 9 Jul 201811 Jul 2018

Publication series

NameACM International Conference Proceeding Series

Conference

Conference30th International Conference on Scientific and Statistical Database Management, SSDBM 2018
Country/TerritoryItaly
CityBolzano-Bozen
Period9/07/1811/07/18

Keywords

  • Big Data
  • Graphs
  • RPQs

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