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Training

Revelytix provides training in the use of knoodl.com. Courses are also available that provide introductory education on semantic technologies (RDF, RDFS, OWL, RIF, and SPARQL). Customized training courses are available. The following topics are covered in a training course:

Topics

  • Installation - knoodl.com
  • Feature training - knoodl.com
  • Semantic collaboration
    • Best practices and methodologies
    • Lessons learned
    • Policy and governance
    • Use Cases and Lab Experiences
      • Vocabulary management
      • Semantic SOA
      • Emergent Analytics

For more information, contact info@revelytix.com.

Training Syllabus

The following is a sample outline of a 2-day training course aimed at introducing attendees to semantic technologies, giving them adequate training to become ontologists, and training them to be proficient in using knoodl.com:

Day 1

  • Semantic Technology Overview
    • RDF
      • Making Assertions
      • Graphs
      • URIs, Namespaces, and Serialization (briefly)
    • SPARQL
      • Graph patterns
      • SPARQL end points
      • RDFS/OWL
    • What are RDFS and OWL?
      • Classes
      • Properties
      • Instances
      • Inferencing
    • Overview of Ontologies
      • Use-case driven
      • Controlled Vocabulary
      • Data Model
      • Interoperability
    • Queries
      • Interoperability between ontologies
        • Merging
        • Importing
        • Mapping
        • Referencing
  • Review of the Day
    • Q & A session

Day 2

  • Knoodl.com overview
  • Knoodl.com training - building an ontology
    • Establish use cases for an ontology
    • Create initial high-level classes
    • Create high-level properties for linking classes
    • Restrictions
    • Create subclasses
      • Intersections
      • Unions
      • Complements
      • Enumerations
    • Class/Property confusion
    • Class/Instance confusion
  • Review of the Day
    • Q & A session
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