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