These slides were used during a lecture in the course, "Practical Introduction to Semantic Technologies" at the University of Jyvaskyla (Finland). Part 1 focuses on RDF Data storage, which is broken down into categories: Native, DBMS-backed, Non-RDF DB, and Hybrid. For each category, specific tools and frameworks are described, with links. Several are described in further detail, including how to download and install them. Part 2 focuses on Querying RDF data using SPARQL. The basics of the query language are outlined with some simple example queries. SPARQL 1.1 Update for graph management is also covered briefly.
URL: http://users.jyu.fi/~olkhriye/ties452/lectures/Lecture02.pdf
Keywords: Dataset, RDF, Triple Store, Sesame, Apache Jena, SPARQL
Author: Khriyenko, Oleksiy
Date created: 2015-11-02 05:00:00.000
Language: http://id.loc.gov/vocabulary/iso639-2/eng
Time required: P30M
Interactivity type: mixed
- Demonstrates a working knowledge of the forms and uses of SPARQL result sets (SELECT, CONSTRUCT, DESCRIBE, and ASK).
- Understands how to combine and filter graph patterns using operators such as UNION, OPTIONAL, FILTER, and MINUS.
- Understands that a SPARQL query matches an RDF graph against a pattern of triples with fixed and variable values.
- Knows the SPARQL 1.1 Update language for updating, creating, and removing RDF graphs in a Graph Store