Practical Advice for Ontology Engineering on RDF & Property Graphs
Learn how to engineer a graph ontology that keeps its meaning across RDF and property graph systems, with practical modelling best practices and tooling.
General
Practical Advice on Graph Visualization: The Case of SigmaJS
Explore how SigmaJS became the default engine for web graph visualization, the WebGL rendering tradeoff it solves, and why gdotv sponsors its development.
gdotv Now Supports pgGraph, Graph Queries on PostgreSQL
Explore pgGraph support in gdotv: connect to your PostgreSQL tables, write GQL graph queries, and visualize traversals and shortest paths with no migration.
Pitting gdotv Against AWS Graph-Explorer (LPG)
How does gdotv compare against AWS graph-explorer? Follow along with this deep-dive as we explore the various features of each framework.
How does gdotv compare to Zazuko Graph Explorer?
How does gdotv compare against Zazuko Graph Explorer? Follow along with this deep-dive as we explore the various features of each framework.
Comparing gdotv vs GraphDB Workbench
How does gdotv compare against GraphDB Workbench? Follow along with this deep-dive as we explore the various features of each framework.
Working with JanusGraph? Here’s how gdotv compares to JanusGraph Visualizer
How does gdotv compare against JanusGraph Visualizer? Follow along with this deep-dive as we explore the various features of each framework.
Building a Property Graph Pipeline from the TEG Benchmark: Part 4 – A Critical Examination of Text-Enriched Graphs
Read our critical analysis of TEG-DB: seven empirical findings on edge text quality, semantic entropy, and evaluation design gaps in text-enriched graph benchmarks.
Building a Property Graph Pipeline from the TEG Benchmark: Part 3 – Exploring with gdotv
Explore four queries in gdotv against TEG-DB show what edge text enables: sentiment polarity, citation chains, and contradictions invisible to graph topology.
Building a Property Graph Pipeline from the TEG Benchmark: Part 2 – Populating the AWS Neptune Graph
Load TEG-DB CSV files into Amazon Neptune via the bulk loader API, connect gdotv with IAM auth, and verify the loaded graph with Gremlin.