Evaluating and Comparing Ontology Alignment Systems: An Mcdm Approach

Evaluating ontology alignment methods

Many di erent methods have been designed for aligning ontologies. These methods use such di erent techniques that they can hardly be compared theoretically. Hence, it is necessary to compare them on common tests. We present two initiatives that led to the de nition and the performance of the evaluation of ontology alignments during 2004. We draw lessons from these two experiments and discuss fu...

Evaluating Ontology Alignment Systems in Query Answering Tasks

Ontology matching receives increasing attention and gained importance in more recent applications such as ontology-based data access (OBDA). However, query answering over aligned ontologies has not been addressed by any evaluation initiative so far. A novel Ontology Alignment Evaluation Initiative (OAEI) track, Ontology Alignment for Query Answering (OA4QA), introduced in the 2014 evaluation ca...

Evaluating a Confidence Value for Ontology Alignment

Many methods for automatic and semi-automatic ontology alignment have been proposed, but they remain error prone and laborintensive. This paper describes a novel generic process for evaluating the mappings’ confidence value. This process uses rules extracted through inductive machine learning methods from the matching results proposed by others. Further, the precision and recall of the extracte...

A Tool for Evaluating Ontology Alignment Strategies

Ontologies are an important technology for the Semantic Web. In different areas ontologies have already been developed and many of these ontologies contain overlapping information. Often we would therefore want to be able to use multiple ontologies. To obtain good results, we need to find the relationships between terms in the different ontologies, i.e. we need to align them. Currently, there e...

Evaluating Word Alignment Systems