Research of ontology learning based on non-structured data
Wansong Zhang · Computer Engineering and Applications Journal · 2008
Establishment of semantic Web requires a set of common standard concept system,namely ontology.Manual ontology construction has low efficiency and accuracy now which can easily result in a knowledge acquisition bottleneck.Overcoming the deficiency of the manual methods,the semi-automatic or automatic methods of building ontology are becoming the hotspot of current research recently,namely,ontology learning.Ontology learning is the set of methods and techniques used for building ontology in an automatic or semi-automatic fashion using several sources.A method is presented for discovering domain-specific concepts and relationships based on non-structured data through using HowNet in this paper.The method is tested on four seed concepts selected from the martial domain: warship,missile,plane,and gun.