Ontologies are built to solve problems, and ultimately an ontology's worth can be measured by the effectiveness with which it helps in solving a particular problem. Nevertheless, as a designed artifact, there are a number of intrinsic characteristics that can be measured for any ontology that give an indication of how "well-designed" it is. Examples include the proper use of various relations found within an ontology, proper separation of concepts and facts (sometimes referred to as classes vs. instance distinctions), proper handling of data type declarations, embedding of semantics in naming (sometimes called "optimistic naming"), inconsistent range or domain constraints, better class/subclass determination, the use of principles of ontological analysis, and many more. This Track aims to enumerate, characterize, and disseminate information on approaches, methodologies, and tools designed to identify such intrinsic characteristics, with the aim of raising the quality of ontologies in the future.
The scope of this track includes: Dimensions of evaluation, methods, criteria, properties to measure
Intrinsic Aspects of Ontology Evaluation
TrackA# QUERYf97e38c520d43dbd54ab879f6c65f037
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