Learning of Concepts and Taxonomic Relation for Vegetable Domain Ontology Based on Chinese Wiki Encyclopedia
DU Yar · Computer and Digital Engineering · 2015
Concepts extraction is the basis of relationship learning,axioms learning,and other subtasks of ontology learning.In the context of the increasing interest in the use of Web data,the underutilized structured information of Baidu Encyclopedia with the characteristic of wiki,and the much lower concepts learning accuracy in agriculture than other domains,the methods of concepts extraction are researched for vegetable domain ontology.The experimental results reveal that the multi-strategy of combing linguistics-based techniques,statistics-based techniques and structured information of Baidu Encyclopedia raise the recall of concepts learning,the hybrid statistical approach of the measures TFIDF and C-value has improved the precision remarkably.This research will promote progress in the area of agricultural ontology learning,especially that of the Web-based data in Chinese language.