Onto.PT: Towards the Automatic Construction of a Lexical Ontology ...

8.3. Evaluation 139
Figure 8.3: Instances in the Onto.PT RDF/OWL model.
in order to access semantic relations. OntoBusca contains also a word cloud with
the most frequently searched lexical items.
Figure 8.4 shows OntoBusca, after querying for the word hospital and expanding
some of the obtained synsets. The available relations include direct and indirect
relations. Besides two adjective synsets with meanings close to a person with good
intentions, there is only one noun synset with the word hospital (hospital, in English).
Some of the presented relations indicate, for instance, that this synset is
a hyponym (hiponimoDe) both of edifício (building) and firma (firm), and it is a
hypernym (hiperonimoDe) of manicômio (psychiatric hospital) and gafaria (leprosy
hospital). Furthermore, the property hospitalar refers to a hospital (referidoPorAlgoComPropriedade),
and the enfermaria (ward) is part of (temParte) a hospital.
It is as well possible to expand the related synsets, as in the example the synset
enfermaria is, showing that, for instance, its purpose (meioPara) is to be used by
pacientes/doentes (patients/sick people).
8.3 Evaluation
This section is dedicated to the evaluation of Onto.PT v.0.35. In the previous
chapters, all the creation steps were validated and the quality of their results was
quantified. So, we start this section with a brief summary of the evaluation described
there. Then, we complement the evaluation of Onto.PT with the manual evaluation
of its sb-triples. We end this section with a coverage evaluation, where we tried
to match each of the 164 core concepts of a wordnet, as suggested by the Global