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.
19 posts
EFFKG Review, Part 3: How to Score Knowledge Graph Referencing Quality
Score referencing quality in a public knowledge graph with RQSS, and see why 4 million EFFKG references resolving to 13 sources prove less than they look.
EFFKG Review, Part 2: 4 Queries That Expose the Fishing Fleet Graph
Explore the European Fishing Fleet Knowledge Graph with 4 SPARQL queries that return graphs instead of tables, and find where its structure runs out.
EFFKG Review, Part 1: How to Query the Fishing Fleet Knowledge Graph
Learn how to reach the European Fishing Fleet Knowledge Graph via its public SPARQL endpoint and an AWS Neptune import, and why the two copies disagree.
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 modeling 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.
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