This massive slide presentation covers a LOT of ground, including. It begins with the benefits of using RDF, RDFS/OWL entailment rules and how they can be used for inferencing, and a thorough discussion of the OWL language and its flavors. The next section covers the SPARQL query language , discussing its basic features and how it compares to SQL. Moving on, the next few sections cover semantic repositories as well as bench-marking and scalability. Then, the use of MapReduce for massively distributed RDF materialization is discussed, followed by RDBMS-to-RDF mapping approaches and tools. Finally, various RDF tools (including ontology editors, RDF-izers, and RDF APIs) are presented.
Keywords: SPARQL, Web Ontology Language (OWL), RDF Schema, Semantic repositories, MapReduce, RDB2RDF
Author: Dimitrov, Marin
Date created: 2010-09-15 04:00:00.000
Time required: P90M
Educational use: instruction
Educational audience: student
- Knows methods such as Direct Mapping of Relational Data to RDF (2012) for transforming data from the relational model (keys, values, rows, columns, tables) into RDF graphs.
- 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
- Knows Web Ontology Language, or OWL (2004), as a RDF vocabulary of properties and classes that extend support for expressive data modeling and automated inferencing (reasoning).
- Recognizes that owl:sameAs, while popular as a mapping property, has strong formal semantics that can entail unintended inferences.
- Uses available ontology browsing tools to explore the ontologies used in a particular dataset.
- Uses common entailment regimes and understands their uses.