Databases Reference
In-Depth Information
Fig. 2.5
The C
OG
Z perspective in P
ROMPT
. (A) and (B) show the source and target ontologies.
Concepts with “C” icons represent terms with candidate correspondences that were discovered
automatically, while concepts with “M” icons (e.g., Article) are terms that have been validated and
mapped. (C) shows a visual representation of correspondences. (D) shows the main toolbar. Each
ontology has a set of buttons for applying filters, moving through the correspondences, and repre-
senting the overall progress. Finally, (E) shows three tabs. The first tab displays all the candidate or
suggested correspondences found automatically. The second tab displays only the correspondences
validated by the user. The final tab displays a side by side visual comparison between the concepts
selected in the source and target ontologies
through a cluster graph visualization along with synchronized navigation within
standard tree controls (see Fig.
2.7
). The tool attempts to facilitate user under-
standing of the ontology matching results [
Lanzenberger and Sampson 2006
]by
providing an overview of the ontologies in the form of clusters. The clusters rep-
resent an abstraction of the original ontology graph; moreover, clusters are colored
based on their potential concept similarity with the other ontology.
OWL Lite Alignment (OLA) is a tool for automated matching construction as
well as an environment for manipulating matching correspondences [
Euzenat et al.
2004a
]. The tool supports parsing and visualization of ontologies, automated com-
puting of similarities between ontology entities, manual construction, visualization,
and comparison of matching correspondences (see Fig.
2.8
). OLA supports only
OWL Lite ontologies and uses the Alignment API specified in
Euzenat
[
2006
]to
describe a matching. The matching algorithm finds correspondences by analyzing
