This slide presentation looks in detail at SPARQL and introduces approaches for querying and updating semantic data. It covers SPARQL algebra and protocol, and also provides examples for reasoning over Linked Data. These examples are from the music domain, and can be directly tried out and ran over the MusicBrainz dataset. Also covered in depth are RDF Schema and OWL, which allow developers to formulate generic and conceptual knowledge that can be exploited by automatic reasoning services in order to enhance the power of querying.
URL: http://www.slideshare.net/EUCLIDproject/querying-linked-data?related=5
Keywords: Web Ontology Language (OWL), RDF Schema, SPARQL, Inferencing, Axioms, Class construction
Author: Norton, Barry
Publisher: EUCLID Project
Date created: 2013-02-28 07:00:00.000
Language: http://id.loc.gov/vocabulary/iso639-2/eng
Time required: P90M
- 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 that Web Ontology Language (OWL) is available in multiple "flavors" that are variously optimized for expressivity, performant reasoning, or for applications involving databases or business rules
- Understands the role of formally declared domains and ranges for inferencing.
- Knows the SPARQL 1.1 Graph Store HTTP protocol for updating graphs on a web server (in "restful" style).
- Knows the SPARQL 1.1 Update language for updating, creating, and removing RDF graphs in a Graph Store
- Uses common entailment regimes and understands their uses.
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