To develop a deeper understanding of what ontologies are, how they work and how they are created, the following guide is an excellent place to start.
Using ‘wine’ as a case study, it takes the reader through the steps (and approaches) associated with creating an ontology. As well as reading the guide, it is recommended to follow along with the exercises in order to develop a deeper understanding and first hand knowledge of ontology creation.
Expected learning outcomes
Understanding the design and application of ontologies.
What is the target audience?
- Digital Preservation professionals and students who are interested in learning more about cutting edge technologies in this area, but who are ultimately interested in the application of these tools into their own work.
- Researchers exploring solutions for data management, digital preservation and image annotation
- Teachers/trainers in this field
- Solution providers for organisations in demand of solutions for data / repository management and digital preservation
Level of advancement/ prerequisites
Basic understanding of metadata
Natalya F. Noynoy@smi.stanford.edu and Deborah L. McGuinness email@example.com
Copyright: Stanford University, Stanford, CA, 94305
see also their slide show tutorial:
Time required for completion6-8 hours
Oberle, D., Guarino, N., & Staab, S. (2009) What is an ontology?. In: “Handbook on Ontologies”. Springer, 2nd edition, 2009.
Uschold, Mike & Gruninger, M. (1996). Ontologies: Principles, Methods and Applications. Knowledge Engineering Review, 11(2).
Roberto Navigli and Paola Velardi (2004). Learning Domain Ontologies from Document Warehouses and Dedicated Web Sites Computational Linguistics 2004 30:2, 151-179. (The authors present a method and a tool, OntoLearn.)