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Published in:
2007 | OriginalPaper | Chapter
Enhancing Comprehension of Ontologies and Conceptual Models Through Abstractions
Author : C. Maria Keet
Published in: AI*IA 2007: Artificial Intelligence and Human-Oriented Computing
Publisher: Springer Berlin Heidelberg
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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 functions with a basic framework of levels and abstraction hierarchy, thereby facilitating querying and visualizing ontologies.