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This paper discusses the automatic ontology generation process in a digital library. Traditional automatic ontology generation uses hierarchical clustering to group similar terms, and the result hierarchy is usually not satisfactory for human's recognition. Human-provided knowledge network presents strong semantic features, but this generation process is both labor-intensive and inconsistent under...
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