Enhancing Comprehension of Ontologies and Conceptual Models Through Abstractions

Authors:
C. Maria Keet
Affiliations:
Faculty of Computer Science, Free University of Bozen-Bolzano, Italy
Venue:
AI*IA '07 Proceedings of the 10th Congress of the Italian Association for Artificial Intelligence on AI*IA 2007: Artificial Intelligence and Human-Oriented Computing
Year:
2007

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Abstract

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.