Formation Understanding Web semantics and web data
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
Contents
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
Targeted at
Researchers, archivists, librarians, all information and documentation professionals, IT project managers.
Prerequisites
Professional use of the Internet.
Training methods
Trainers
Specialist consultant in this field.
Training methods
Theoretical presentations.
Case studies.
Researching resources in Data Web.
Strong points
• Understanding Semantic Web or Data Web and professional applications.
• The stakes linked to Open Data and inter-operability.