IS2000 | Principles of Information Science
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Information Modeling


Slide Deck | Recorded Lecture 1/Lecture 2 | Lecture Notes | Guest Lectures | Discussions | Self-Assessment | Diary

To understand the information in a particular application domain, models are often constructed. This lesson describes different information and data modeling approaches, including taxonomies, partonomies, and ontologies. 

Objectives
Upon completion of this lesson, you will be able to
  • define the terms taxonomy, partonomie, and ontology
  • explain the use of ontologies for information modeling
  • construct an ontology step-by-step
  • discuss the technologies underpinning the semantic web
  • visualize ontologies through UML Class Diagrams
  • connect information architecture with ontologies
Required Readings
  • Caminao's Ways: Ontologies & Models.
  • Caminao's Ways: Ontologies & Enterprise Architecture.
  • UML Class Diagram: Domain Model Diagrams.
  • Ontologies in Information Science.
Suggested Readings
  • ​​Bergman, M. (2010). A Brief Survey of Ontology Development Methodologies.
  • Noy, N., McGuiness, D. (2001). Ontology Development 101: A Guide to creating your first Ontology, Stanford Knowledge Systems Laboratory Technical Report KSL-01-05 and Stanford Medical Informatics Technical Report SMI-2001-0880, March 2001.
  • Bermajo, J. (2007). A Simplified Guide to Create an Ontology. The Autonomous Systems Laboratory. Polytechnic University of Madrid. ASLab R-2007-004.​
  • Numerous blogs and articles on ontologies in practice.
  • UML Diagrams
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