Author
Posts by Dr. Seyed Amir Hosseini Beghaeiraveri
Data Scientist
Amir holds a PhD in Computer Science from Heriot-Watt University and recently completed his postdoctoral fellowship in Large-Scale Nested Data Processing at the University of Edinburgh's School of Informatics. He brings several years of experience in graph-based structures and semantic web technologies to the team, with a focus on data processing and validation. As a long-time RDF user, he leads the continuous design and implementation of solutions for RDF/SPARQL users at gdotv.
16 posts
gdotv Adds Multi-Graph Connections & Automatic Data Models [v3.74.142 Release Notes]
Discover multi-graph connections in gdotv v3.74.142: move between graphs, datasets and repositories on one connection, with data models that load themselves.
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.
The Weekly Edge: RDF Inference, Yugabyte MAGE, Visualization with Apache AGE
Discover what’s new this week in graph technology: N3 rules for ontology alignment, Yugabyte’s agent-ready Postgres, and ontology-free graph construction.
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.
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.
Building a Property Graph Pipeline from the TEG Benchmark: Part 1 – From HuggingFace to Structured CSV
Find out how to build a property graph pipeline converting the TEG-DB graph benchmark from PyTorch Geometric pickles into AWS Neptune import-ready CSV files.
SHACL in gdotv: Unifying Your RDF Data Model & Validation
Discover how gdotv transforms SHACL validation shapes into a unified RDF data model by integrating ontology and instance data into one explorable view.
Evaluating Codebase-Oriented RAG through Knowledge Graph Analysis [Part 2]
Crack open your codebase RAG with a knowledge graph analysis that illustrates hidden dependencies and other structural breakdowns in part 2 of this series.
Announcing SPARQL Query Guardrails, Dashboarding, Query Editor Upgrades, & More [v3.53.111 Release Notes]
Discover what’s new in the latest release of gdotv with SPARQL query guardrails, dashboards for visual graph analytics, query editor upgrades and much more!
Evaluating Codebase-Oriented RAG through Knowledge Graph Analysis [Part 1]
Crack open your codebase RAG with a knowledge graph analysis that illustrates hidden inheritance chains, hub detection, and more in this 2-part blog series.
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