Create a Virtual Knowledge Graph with Amazon Neptune and an Amazon S3 data lake

This article discusses how to create a virtual knowledge graph by combining data from Amazon Neptune (a graph database) and Amazon S3 (object storage) using SPARQL federated queries.

Specifically, the article covers:

• The difference between knowledge graphs (suitable for highly connected data like weather stations) and data lakes (suitable for large volumes of data like weather readings)
• How to set up the solution architecture using AWS services like Neptune, S3, Athena, ECS, and Ontop-VKG
• Loading and processing sample weather data into Neptune and S3
• Building and deploying an Ontop container to expose the S3 data lake as a SPARQL endpoint
• Querying the combined Neptune and S3 data using a SPARQL 1.1 federated query
• Conclusion and benefits of this approach for linking distributed data sources