The document discusses semantic technologies for teaching and learning. It provides a high-level overview of implementing semantics, noting that it requires a high degree of system maturity. It also discusses the web architecture perspective, noting that web architecture now supports novel methods of accessing data through SPARQL endpoints and REST services that emit RDF. Stabilizing the architecture involves technologies like HTTP URIs, RDF, RDF Schema, OWL, GRDDL, REST services, SPARQL, Linked Data, vocabularies, and content negotiation.

1. Semantic Structures for Teaching and Learning JISC CETIS Conference 2007 Mikael Nilsson <mikael@nilsson.name> Royal Institute of Technology, Stockholm Uppsala University Architecture Matters!

4. Stabilising the architecture Getting raw data: Services in the Web: Exposing semantics: Ubiquitous semantics: Identity & location: Descriptions: HTTP URIs RDF RDF Schema OWL GRDDL REST Services SPARQL Linked Data Vocabulary Web presence (SKOS) Content Negotiation Microformat Semantics RDF in HTML (RDFa) Domain vocabulary

5. Evolving the domain vocabularies Dublin Core Terms (Dec 2007) IEEE LOM in RDF (March 2008) Library Data (RDA) in RDF (2009) Dublin Core Abstract Model (June 2007) Dublin Core in RDF (June 2007) Dublin Core in HTML (Dec 2007) Dublin Core in XML (2008) ??? HTTP URIs RDF RDF Schema OWL GRDDL REST Services SPARQL Linked Data Vocabulary Web presence (SKOS) Content Negotiation Microformat Semantics RDF in HTML (RDFa)

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