This slide presentation introduces the main principles of Linked Data, as well as underlying technologies and background standards. It provides basic knowledge for how data can be published over the Web, how it can be queried, and what are the possible use cases and benefits. NOTE: These slides represent material from several lessons that comprised a larger "module" of the EUCLID Project. As such, they cover a wider range of topics than most resources.
Keywords: Linked Open Data (LOD) Cloud, Web of Data, Vocabulary, RDF Schema, Web Ontology Language (OWL), SPARQL, Triple
Author: Norton, Barry
Publisher: EUCLID Project
Date created: 2013-01-18 07:00:00.000
Time required: P40M
Educational use: professionalDevelopment
Educational audience: professional
Interactivity type: expositive
- Knows the "five stars" of Open Data: put data on the Web, preferably in a structured and preferably non-proprietary format, using URIs to name things, and link to other data.
- Knows the subject-predicate-object component structure of a triple.
- Understands the RDF abstract data model as a directed labeled graph.
- 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).
- Reuses published properties and classes where available.
- Uses RDF Schema to express semantic relationships within a vocabulary.
- Understands that a "real-world" thing may need to be named with a URI distinct from the URI for information about that thing.
- Understands that Linked Data (2006) extended the notion of a web of documents (the Web) to a notion of a web of finer-grained data (the Linked Data cloud).
- Understands the difference between SQL query language (which operates on database tables) and SPARQL (which operates on RDF graphs).