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- W2373064518 abstract "Ontology learning is a series of semi-automatic ontology building methods and techniques.It does this by using a variety of data sources in order to building a new ontology through constructing a new or expanding an ontology by using semi-automatic methods.The existing ontology construction methods are through choosing the concept of a field from a large number of documents of a special domain and background corpus to construct an ontology.This paper proposed a Cluster-Merge algorithm that first cluster documents of a special domain by using the k-means clustering algorithm;And then construct many ontologies based the results of clustered documents;Finally,merge these ontologies based ontology similarity to get the final output of ontology.It can be proved that these ontologies derived from the Cluster-Merge algorithm can improve recall ratio,precision ratio through experiments." @default.
- W2373064518 created "2016-06-24" @default.
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- W2373064518 date "2010-01-01" @default.
- W2373064518 modified "2023-09-25" @default.
- W2373064518 title "An Ontology Learning Based on Documents Clustering" @default.
- W2373064518 hasPublicationYear "2010" @default.
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