OntoDNA: ontology alignment results for OAEI 2007

We have seriously implemented the promises of last year with the provision of the first automated service for evaluating ontology matching, the SEALS evaluation service, which has

For cases of type (i), while LogMap has the best precision (at the expense of recall), AML has similar results in terms of precision and recall and outperforms the other systems

The ultimate goal is to incorporate methods that exploit different types of infor- mation available (lexical, semantic, structural) at various settings

To solve the matching problem without rich literal information, a similarity propagation matcher with strong propagation condition (SSP matcher) is presented, and the

This year, 6 matching systems registered for the MultiFarm track: AML, DOME, EVOCROS, KEPLER, LogMap and XMap. However, a few systems had issues when evaluated: i) KEPLER generated

The x-axis is the average rank of each system obtained by the Friedman test. Systems which are not significantly different from each other are connected by the red lines...

The results depicted in Table 47 and Figure 11 indicate that the progress made in ontology matching has also a positive impact on other related matching problems, like it is the

We first compare the performance of the four systems with an all-knowing oracle (0.0 error rate - Table 16), in terms of precision, recall and F-measure, to the results obtained in