Article ID Journal Published Year Pages File Type
378960 Data & Knowledge Engineering 2010 12 Pages PDF
Abstract

The ontology language OWL has become increasingly important during the previous years. However due to the uncontrolled growth, OWL ontologies in many cases are very heterogeneous with respect to the class and property labels that often lack a common and systematic view. For this reason we developed linguistically based guidelines for OWL class and property labels focusing on their implicit structure. Considering these guidelines we propose an evaluation mechanism including rules for comparing the linguistically triggered label interpretations to their OWL internal representations. Our proposal also includes the verbalization of these evaluated OWL labels.

Related Topics
Physical Sciences and Engineering Computer Science Artificial Intelligence
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