Understanding Web semantics and web data - INA Training
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Formation Understanding Web semantics and web data

Professional principles and uses

Training goals

Be able to:
- use the data web vocabulary,
- know the main standards in use for Data Web projects.
- anticipate professional opportunities from Data Web.
- understand the position of Data Web in the larger Big Data and Open Data movement.

Details

What is Data Web,or Semantic Web? - definitions.
Data Web: historical context.
Open Data and user data licenses.
Three key standards: URI, RDF, Sparql.
"Universal" data models, understanding SKOS for controlled vocabulary descriptions (thesaurus, taxinomies, authorities...).
Data interconnectivity in Data Web: aligning controlled vocabulary.
Review of main data models used today: Dublin Core and FRBR.
Case studies:
- data.bnf.fr project,
- Doremus, wikipedia/dbpedia,
- ELI project,
- French Ministry of Culture project: "le graphe culture".
Steps in setting up a Data Web project, players' roles and competence needed.
Interactions between Data Web and content Web: semantic annotation of Web pages with schema.org and OpenGraph.

Targeted at

Researchers, archivists, librarians, all information and documentation professionals, IT project managers.

Prerequisites

Professional use of the Internet.

Trainers

Specialist consultant in this field.

Training methods

Theoretical presentations.
Case studies.
Researching resources in Data Web.

• Understanding Semantic Web or Data Web and professional applications.
• The stakes linked to Open Data and inter-operability.