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- W2371769041 abstract "How to acquire the relation between the concepts and how to label the type of the conceptual relation are two basic problems of the ontology relation learning.Current algorithms often separate different concept relation types and use different methods to acquire ontology relations.Association rules mining and clustering analyses have been used in a large area such as retail,financial, communication and marketing organizations to find interesting data pattern.A data mining based ontology relation learning algorithm is proposed,which used association rules mining method to acquire relations between concepts from large text corpus and used clustering analyses method to distinguish the conceptual relations.According to the experimental result,the algorithm can resolve the two basic problems in ontology relation learning." @default.
- W2371769041 created "2016-06-24" @default.
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- W2371769041 date "2008-01-01" @default.
- W2371769041 modified "2023-10-16" @default.
- W2371769041 title "Ontology Conceptual Relation Learning Algorithm Based on Data Mining" @default.
- W2371769041 hasPublicationYear "2008" @default.
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