Ontology and Knowledge-Based System Development using Protégé   (syllabus is subject to change)

Day 0 - Getting Started (optional)
Day 1 - Developing Ontologies and Knowledge Bases
Day 2 - Extending and Managing Ontologies and Knowledge Bases
Day 3 - Developing Knowledge-based Applications
Day 4 - Using Protégé for Web Ontology Language (OWL) and the Semantic Web

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Day 0 - Getting Started (optional)

0.1. Getting, installing, and starting Protégé
0.2. Walk-through of Protégé features (menus and icons)
0.3. Default storage (pprj, pont, pins files)
0.4. Exercises to become familiar with basic Protégé operations


Day 1 - Developing Ontologies and Knowledge Bases

1.1. Introduction

• Goals of the tutorial
• What is and isn't covered
• Background on Protégé

1.2. Primer on Knowledge Representation and Reasoning (KR&R)

• Alternative KR&R formalisms:
  • Predicate logic
  • Description logic (intro to OWL)
  • Frame (intro to OKBC)
  • Rule
  • Relationship to OO methodology
• Meta-level

1.3. Developing Frame-based Ontologies

• What is an ontology
  • Definitions
  • Examples
  • Relationships to XML Schema, database schema
• Conceptualization
  • Example domain and application problem
  • Identification of concepts and relationship
• Protégé knowledge model
• Data types, classes, slots, facets
• Metaclass, template and own slots
• Metaslot, subslot, inverse slot

1.4. Developing a Frame-based Knowledge Base

• Forms tab, layout, display slot, different slot widgets
• Organization of multiple projects (inclusions)
• Creating instances

Day 2 - Extending and Managing Ontologies and Knowledge Bases

2.1. Protégé Plug-in Architecture

• Types of plug-ins
• Code examples

2.2. Tasks involved in developing and maintaining knowledge bases

• How to reuse or import existing resources?
• How to visualize information in the knowledge base?
• How to customize display of instances?
• How to display non-standard data types?
• What options are there to display portions of knowledge bases?
• What options are available for navigation and browsing?
• How to manage multiple ontologies using Prompt?
• How to query or search knowledge bases?
• How to set up Protégé for multiple users?
• How to export to external formats?
• How to add and test integrity constraints?
• What are some real-life large-scale ontologies?

Day 3 - Developing Knowledge-based Applications

3.1. Overview: Protégé as a part of a larger system

• System architectures
  • Protégé versus DBMS, Application designs, stand-alone applications, tabs, Protégé over the web
• Problem-solving methods (PSMs)
  • What are PSMs? The PSM tab

3.2. Survey of technical approaches

• Protégé as embedded library in procedural code
  • Loading projects programmatically, Protégé API
• Protégé/toolkit integration
  • Jess, Algernon, Scripts and macros

3.3. Development and deployment issues

• Collaboration between domain experts and technical experts, workflow, testing, deployment issues. ATHENA case study

Day 4 - Using Protégé for Web Ontology Language (OWL) and the Semantic Web

4.1. Context: The Semantic Web (Vision)

• The role of ontologies: Use cases
• Some background on OWL (RDF + DL)

4.2. Using Protégé OWL Plug-in and Racer classifier

• Restrictions
• Logical class definitions
• Primitive and Defined classes
• Using classifier and consistency checking

4.3. An Ontology... and now what?

• Semantic Web Rule Language
• Architecture of Semantic Web applications (Web Services, Agents)

4.4. Walk through some complex real-world ontologies