=Paper=
{{Paper
|id=None
|storemode=property
|title=None
|pdfUrl=https://ceur-ws.org/Vol-619/keynote2.pdf
|volume=Vol-619
|dblpUrl=https://dblp.org/rec/conf/amw/Cruz10
}}
==None==
<pdf width="1500px">https://ceur-ws.org/Vol-619/keynote2.pdf</pdf>
<pre>
   Integrated Matching and Evaluation of Large
              Real-World Ontologies

                                    Isabel Cruz

                          University of Illinois at Chicago
                                 ifc@cs.uic.edu

We present the AgreementMaker system for matching real-world ontologies,
which may consist of hundreds or even thousands of concepts. The end users
of the system are sophisticated domain experts whose needs have driven the de-
sign and implementation of the system: they require a responsive, powerful, and
extensible framework to perform, evaluate, and compare matching methods. The
system comprises a wide range of matching methods addressing dierent levels
of granularity of the components being matched (conceptual vs. structural), the
amount of user intervention that they require (manual vs. automatic), their usage
(stand-alone vs. composed), and the types of compo- nents to consider (schema
only or schema and instances). Performance measurements (recall, precision, and
runtime) are supported by the system, along with the weighted combination of
the results provided by those methods. The AgreementMaker has been used
and tested in practical applications and in the Ontology Alignment Evaluation
Initiative (OAEI) competition. We report here on some of its most advanced
features, including its extensible architecture that facilitates the integration and
performance tuning of a variety of matching methods, its capability to evaluate,
compare, and combine matching results, and its user interface with a control
panel that drives all the matching methods and evaluation strategies.

</pre>