计算机与数字工程Issue(10)：1761-1766,1785,7.DOI:10.3969/j.issn.1672-9722.2015.10.009
基于 Web 的蔬菜领域本体概念和分类关系学习方法研究
Learning of Concepts and Taxonomic Relation for Vegetable Domain Ontology Based on Chinese Wiki Encyclopedia
杜亚茹 1孙琛 1赵明1
作者信息
- 1. 中国农业大学信息与电气工程学院 北京 100083
- 折叠
摘要
Abstract
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 do‐mains ,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 im‐proved 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 .关键词
蔬菜/本体学习/概念/分类关系Key words
agricultural ontology/concepts learning/chinese wiki encyclopedia引用本文复制引用
杜亚茹,孙琛,赵明..基于 Web 的蔬菜领域本体概念和分类关系学习方法研究[J].计算机与数字工程,2015,(10):1761-1766,1785,7.
