Jena is a Java framework for building Semantic Web applications. It provides a programmatic environment for RDF, RDFS and OWL, SPARQL and includes a rule-based inference engine.

Our preliminary agenda looks as follows:

Agenda  10am -5pm

   1. RDF model interface
         1. create your first model.
         2. working with nodes and properties.
         3. literals and java data types
   2. Ontology model interface
         1. individuals
         2. frames based programming
         3. property based programming
               1. range
               2. domain
   3. Using the schemagen tool
   4. Inferencing
         1. basics of OWL based inferencing
               1. transitivity
               2. symmetry
               3. functional
               4. inverse
               5. inverse + functional
         2. range/domain implications on inferencing
         3. classification - type hierarchy implications on inferencing
         4. Jena inferencing models
         5. Pellet - integration
   5. Running SPARQL queries
   6. Jena rules
   7. Persistent models
   8. Programming Jena with JRuby
   9. Beans Binding (jenabean)
  10. geosparql extension
  11. Practical uses
         1. convert SQL to RDF
         2. convert XML to RDF, vice versa
         3. Create a taxonomy and tool to classify and collect (curator)



frames based programming looks at the RDF/OWL model like protege.  Classes have properties for example, rather than range/domain.  We can exaplain direct vs. indirect properties