A hybrid approach for learning concept hierarchy from Malay text using artificial immune network

A concept hierarchy is an integral part of an ontology but it is expensive and time consuming to build. Motivated by this, many unsupervised learning methods have been proposed to (semi-) automatically develop a concept hierarchy. A significant work is the Guided Agglomerative Hierarchical Clusterin...

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Bibliographic Details
Main Authors: Ahmad Nazri, Mohd. Zakree, Shamsudin, Siti Mariyam, Abu Bakar, Azuraliza, Abdullah, Salwani
Format: Article
Published: Springer 2010
Subjects: