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In this paper we present a new approach for the automatic identification of domain-relevant concepts and entities of a given domain using the category and page structures of the Wikipedia in a language independent way. By applying Markov random walk algorithm on the weighted Wikipedia link graph, our approach can identify large quantities of domain-relevant concepts and entities with very little human...
We propose a novel method which can automatically extract new concepts and semantic relations between concepts, in order to support the domain ontology evolvement. We collect the corpus from a free Chinese encyclopedia called Baidu encyclopedia, which is similar to Wikipedia. We locate lists from the Baidu encyclopedia, and extract domain knowledge from the lists. Further more, we use a knowledge...
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