Enhancing Comprehension of Ontologies and Conceptual Models Through Abstractions

@inproceedings{Keet2007EnhancingCO,
  title={Enhancing Comprehension of Ontologies and Conceptual Models Through Abstractions},
  author={C. Keet},
  booktitle={AI*IA},
  year={2007}
}
  • C. Keet
  • Published in AI*IA 2007
  • Computer Science
In addition to the Database Comprehension Problem, where diagrammatic conceptual data models are too large for a modeller or domain expert to comprehend or manage, an Ontology Comprehension Problem is emerging. Formal ontologies are, however, more amenable to automated abstractions to improve understandability. Three ways of abstraction are defined with 11 abstraction functions that use foundational ontology categories. Usability of the abstraction functions is enhanced by associating the… Expand
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References

SHOWING 1-10 OF 25 REFERENCES
Relations in biomedical ontologies
A taxonomy of types of granularity
  • C. Keet
  • Computer Science
  • 2006 IEEE International Conference on Granular Computing
  • 2006
Reasoning on UML class diagrams
A Semantics for Abstraction
Part-Whole Relations in Object-Role Models
  • C. Keet
  • Computer Science
  • OTM Workshops
  • 2006
...
1
2
3
...