GraphDB is Ontotext’s leading RDF database for creating knowledge graphs. The following video fundamentals will guide you in your first steps:
This video introduces you to RDF as a standardized format for graph data representation, to what RDFS adds to it as well as how to use it by easy-to-follow examples from The Flintstones cartoon.
This video covers the basics of SPARQL – a SQL-like query language for RDF data. It is recognized as one of the key tools of Semantic Technology and is a W3C standard. The module aims to provide you with sufficient knowledge to create your first RDF graph and run your first SPARQL queries.
This video focuses on ontologies: what is an ontology, what kind of resources does it describe and what are the benefits of using ontologies. Ontologies are the core of how we model knowledge semantically.
This video covers the different GraphDB distributions and guides you through the steps of installing GraphDB.
In this video, we provide a brief overview of GraphDB Workbench and it’s main functionalities. GraphDB Workbench is an administration web-based interface similar to the RDF4J Workbench Web application but it’s much easier and more intuitive to use and offers more functionality.
This video shows you how to load data in GraphDB with the help of GraphDB Workbench, Parallel LoadRDF Tool, Preload Tool or OntoRefine. Data is the most valuable asset and GraphDB is designed to store and enhance it.
This video outlines the main strategies of getting new information from your data as well as the rule sets used by GraphDB. The three different reasoning strategies discussed are forward chaining, backward chaining and hybrid chaining and they support various GraphDB reasoning optimizations.
This video focuses on the data virtualization in GraphDB, which enables direct access to relational databases with SPARQL queries and eliminates the need to replicate data. The implementation exposes a virtual SPARQL endpoint, which translates the queries to SQL using declarative mapping.
This video introduces you to the GraphDB Plugins, which are externally provided libraries allowing developers to extend the engine. They can synchronize their internal state over the public plugin API and handle the execution of registered tuple patterns.
This video presents the GraphDB Connectors, which provide automatic synchronization to external search systems like Lucene, Solr or ElasticSearch. They are responsible for mapping the RDF model to the supported document-centered model of these systems and providing automatic updates.