Abstract
In the paper, we examine the idea of supporting domain ontology creation by an automatic clustering of selected terms identified using a terminology extraction method. We discuss the problem of introducing a structure into a set of similar concepts. We extract terminology
from economic articles in Polish Wikipedia, then we select several sets of similar concepts present in the top 5,500 extracted terms. We describe two methods for automatic clustering of such groups of phrases on the basis of their distributional properties, i.e. the quantitative
characteristics of the contexts of their occurrences in texts and test them on two sets of data.
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