Skip to main content
Conference ProceedingsOPEN ACCESS

KOJAPH: Visual definition and exploration of patterns in graph databases

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (2015) 9411 272-278
DOI: 10.1007/978-3-319-27261-0_23
7Citations
Citations of this article
15Readers
Mendeley users who have this article in their library.

This article is free to access.

Abstract

We present Kojaph, a new system for the visual definition and exploration of patterns in graph databases. It offers an expressive visual language integrated in a simple user interface, to define complex patterns as a combination of topological properties and node/edge attribute properties. Users can also interact with the query results and visually explore the graph incrementally, starting from such results. From the application perspective, Kojaph has been designed to run on top of every desired graph database management system (GDBMS). As a proof of concept, we integrated it with Neo4J, the most popular GDBMS.

Cite

CITATION STYLE

APA

Didimo, W., Giacchè, F., & Montecchiani, F. (2015). KOJAPH: Visual definition and exploration of patterns in graph databases. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 9411, pp. 272–278). Springer Verlag. https://doi.org/10.1007/978-3-319-27261-0_23

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free