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Clustering Concept Hierarchies is the most important and basic procedure among the tasks of Ontology Construction to organize the knowledge. This paper proposes a method for concept hierarchies induction based on FCA from a list of concepts. In our method, the feature space is specified to be the attributes of the concept. Thus the feature extraction can be turned into the extraction of attribute...
Attribute value is among the most important information to describe ontology. However, few researches have been done about attribute values extraction so far. This paper proposes a method of extracting ontology attribute values automatically based on WWW. Firstly, a method based on a seeds set is described about interaction between relevant sentences selection including attribute values and attribute...
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