Local, instructor-led live Semantic Web training courses demonstrate through interactive discussion and hands-on practice the fundamentals of Semantic Web.
Semantic Web training is available as "onsite live training" or "remote live training". The US onsite live Semantic Web trainings can be carried out locally on customer premises or in NobleProg corporate training centers. Remote live training is carried out by way of an interactive, remote desktop.
Blazegraph is an open source, Java-based RDF graph database for storing and representing data with complex relationships. It supports Blueprints and RDF/SPARQL 1.1.
In this instructor-led, live training, participants will learn how to use Blazegraph to capture complex data in graph format for retrieval from a number of sample applications. All exercises will be carried out hands-on in a live-lab environment.
By the end of this training, participants will be able to:
- Install and configure Blazegraph in standalone mode, clustered mode (optional) or embedded mode (optional) - Create, test and deploy a sample application to query complex data in a Blazegraph data store - Understand how to leverage GPU (graphics processing unit) to accelerate computations
Audience
- Developers
Format of the Course
- Part lecture, part discussion, exercises and heavy hands-on practice
Note
- To request a customized training for this course, please contact us to arrange.
The Semantic Web is a collaborative movement led by the World Wide Web Consortium (W3C) that promotes common formats for data on the World Wide Web. The Semantic Web provides a common framework that allows data to be shared and reused across application, enterprise, and community boundaries.
This instructor-led, live training in the US (onsite or remote) is aimed at technical persons who wish to query RDF data stored in a Semantic Web database.
By the end of this training, participants will be able to:
- Understand the difference between semantic web data and relational data. - Query public datasets based on Semantic Web standards. - Model data for querying with SPARQL. - Transition a website's data to semantic web linked data. - Run SPARQL queries from within an existing application.
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