Clustering of Wikipedia Terms with Paradigmatic Relations for Building Domain Ontology
Presented at: 6th International and 2nd Asian Semantic Web Conference (ISWC2007+ASWC2007)
For building ontology from text, we need to extract terms and conceptualize them as classes of ontology. In this paper we present a clustering of terms method using paradigmatic relation and hierarchical clustering. To extract the paradigmatic relation, we use 1st and 2nd order collocation extracted from Wikipedia documents. By computing the semantic relatedness of clusters, we can extract clusters that consist of similar words.
Clustering of Wikipedia Terms with Paradigmatic Relations for Building Domain Ontology was presented at this event.
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