What you would learn in Practical RDF and SPARQL course?
RDF gives us the graph model for connecting information into graphs that are W3C compliant, and SPARQL allows us to use the data to address business-related questions. When it comes to mastering the technology so that we can use it beyond "pet projects," demonstrations of concept, and proofs of value, there's plenty more to be familiar with when it comes to taking advantage of the full range of RDF to weave information across multiple graphs as well as managing the graphs.
This course will aid you in the development of your understanding of the basics of RDF as well as SPARQL and to get hands-on with intermediate to advanced concepts and the features that are available in RDF as well as SPARQL. It also involves using RDF Schema (RDFS) to encode graph schema in a declarative (ontology) structure.
Thus, this course will assist you in reaching your next goal in your career as a graph data analyst who must be more proficient in creating and querying SemanticWeb-based knowledge graphs.
In this course, students will be working with larger data sets. They will be able to issue SPARQL queries that involve strings and mathematical operations as well as create custom outputs for the result. Additionally, you'll utilize the potential in SPARQL Update to generate schemas (aided by RDFS) and graph management, and other valuable tasks such as the refactoring of entities.
Additionally, you'll learn to create effectively querying structures such as RDF Containers, Collections, and containers and issue SPARQL federated queries to query distributed data sources to get more detailed analytics and to perform enrichment of knowledge graphs.
Course Content:
- Learn intermediate to advanced levels in RDF, SPARQL, and SPARQL, with a thorough knowledge of SPARQL Updates for CRUD operations.
- Utilize automated and declarative methods to transform the implicit graph vocabulary into an explicitly graph-based schema, which makes use of RDF Schema (RDFS)
- Conduct graph management operations as well as query default graphs and named graphs
- Create as well as query RDF containers and collections to provide instances-level structures that provide unordered and ordered groups of nodes
- Construct federated queries across remote and local databases, and perform graph enrichment using query federation as well as SPARQL Update
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