作者: Johanna Völker , Denny Vrandečić , York Sure
DOI: 10.1007/11574620_51
关键词:
摘要: OntoClean is a unique approach towards the formal evaluation of ontologies, as it analyses intensional content concepts. Although well documented in numerous publications, and its importance widely acknowledged, still used rather infrequently due to high costs for applying OntoClean, especially on tagging concepts with correct meta-properties. In order facilitate use enable proper real-world cases, we provide AEON , tool which automatically tags appropriate The implementation can be easily expanded check other abstract meta-properties, thus providing first time support ontology Our main idea using web an embodiment objective world knowledge, where search patterns indicating We get automatic ontology, reducing tremendously. Moreover, lowers risk having subjective taggings. As part report our experiences from creating middle-sized OntoClean-tagged reference ontology.