Automatic Ontology Matching via Upper Ontologies: A Systematic Evaluation

Automatic Evaluation of Ontologies

Automatic Evaluation of Ontologies (AEON)

OntoClean is a unique approach towards the formal evaluation of ontologies, as it analyses the intensional content of concepts. Although it is well documented in numerous publications, and its importance is widely acknowledged, it is still used rather infrequently due to the high costs for applying OntoClean, especially on tagging concepts with the correct meta-properties. In order to facilitat...

Towards Ontology Matching via Pattern-Based Detection of Semantic Structures in OWL Ontologies

Ontology Matching is nowadays a vivid area of Computer Science. There are several OM tools looking for correspondences between entities of ontologies. These correspondences are usual simple equivalence mapping pairs classto-class or property-to-property. In our work we concentrate on diverse kinds of semantic structures in ontologies in terms of their detection and mutual matching. For this kin...

Ontology matching evaluation: a statistical perspective

This paper proposes statistical approaches to test if the difference between two ontology matchers is real. Specifically, the performances of the matchers over multiple data sets are obtained and based on their performances, the conclusion can be drawn whether one method is better than one another or not. To do so, the paired t-test and Wilcoxon signed rank test are proposed and the comparisons...

Automatic Ontology Matching Using Application Semantics

hance the process of semantic reconciliation. Application semantics involves those elements of business reasoning that affect the way concepts are presented to users: their layout, and so on. In particular, we pursue in this article the notion of precedence, in which temporal constraints determine the order in which concepts are presented to the user. Existing matching algorithms use either syn...