Results of the Ontology Alignment Evaluation Initiative 2008

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

Starting from the experience of previous editions of the instance matching track in OAEI [15], this year we provided a set of RDF-based test cases, called RDFT, that is

As a general comment, we can conclude that all the four systems participating in this edition of the instance matching track obtained good results, both in terms of pre- cision

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