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<i title="Canadian Center of Science and Education">
<a target="_blank" rel="noopener" href="https://fatcat.wiki/container/e3eberciqvbc3am2h4ordzdxu4" style="color: black;">Computer and Information Science</a>
The knowledge bases of the Web are fundamentally organized in ontologies in order to answer queries based on semantics. The ontologies learning process comprises three fundamental steps: creation of classes and relationships, population and evaluation. In this paper the focus includes the classes creation, by introducing a class validation proposal using clustering analysis. As case of study was selected a pedagogical domain, where a corpus was semi-automatically built, from articles written in<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.5539/cis.v11n1p65">doi:10.5539/cis.v11n1p65</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/hc3fjdmhnbh7nfsx2qbvfusvbe">fatcat:hc3fjdmhnbh7nfsx2qbvfusvbe</a> </span>
more »... Spanish published in Social Sciences. Moreover, a dictionary containing classes, concepts and synonyms was included in the experiments. Clustering analysis allowed to verify the concepts that the experts considered as the most important for the domain. For the case of study selected, the cluster analysis step reports clusters with the same instances that the clusters defined by the experts.
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