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Training

Revelytix provides training in the use of Knoodl and MatchIT. Courses are also available which provide introductory eduction on semantic technologies (RDF, RDFS, OWL, SPARQL). Customized training courses are available. The following topics are covered in a training course:


Topics

  • Installation - Knoodl/MatchIT
  • Feature training - Knoodl/MatchIT
  • Semantic collaboration
    • Best practices and methodologies
    • Lessons learned
    • Policy and governance
  • Use case and lab Experiences
    • Vocabulary management
    • Semantic SOA
    • Emergent Analytics

A training course has been scheduled for July 7-8. 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:

Day 1

  • Semantic Technology Overview
    • RDF
      • Making Assertions
      • Graphs
      • URIs/Namespaces
      • Serialization - XML
    • SPARQL
      • Graph patterns
    • RDFS/OWL
      • What are RDFS and OWL?
      • Class
        • Subclass
        • Equivalent/Disjoint
        • Restrictions
        • Intersection
        • Union
        • Complement
        • Enumeration
      • Property
        • Object vs Data type
        • Domain
        • Range
        • Class/Property confusion
      • Instance
        • Class/Instance confusion
      • Inferencing
  • Overview of Ontologies
    • Use case driven
      • Controlled Vocabulary
      • Data Model
        • Interoperability
        • Queries
    • Interoperability between ontologies
      • Merging
      • Importing
      • Mapping
      • Referencing

Day 2

  • Knoodl overview
  • Knoodl 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
      • Compliments
      • Enumerations
    • Class/Property confusion
    • Class/Instance confusion