基于领域本体概念划分的语义标注方法  

Semantic Tagging Method Based on the Division of Domain Ontology Concept

作　　者：杨利[1] 叶明全[1] 郑诚[2] 

机构地区：[1]皖南医学院计算机教研室,安徽芜湖241002 [2]安徽大学计算机科学与技术学院,合肥230039

出　　处：《合肥学院学报（自然科学版）》2013年第1期41-44,共4页Journal of Hefei University :Natural Sciences

基　　金：安徽省自然科学基金项目(11040606M133)资助

摘　　要：对当前的基于领域本体的语义标注方法进行了说明和分析,提出了基于领域本体概念划分的语义标注方法.该方法将领域本体中的概念分为特有概念和普通概念,先用一般的领域本体标注算法计算特征词的权值,再对普通概念特征词的权值进行调整,最后结合水稻领域进行试验.实验表明,该方法在保证查全率的基础上,提高了普通概念特征词的查准率.Describing and analyzing the current annotation methods based on domain ontology, and proposing a semantic tagging method based on the division of domain ontology concept. Dividing the concept vocabularies of domain ontology into unique concept and ordinary concept. After calculating the weights of feature words by general annotation algorithm of domain ontology, and adjust the weights of feature words of ordinary concept, finally, take the experiment in rice field. Experimental results show that the method improves precision rate of feature words of ordinary concept in basis on guarantying recall rate.

关 键 词：本体 语义标注 概念划分 

分 类 号：TP391.3[自动化与计算机技术—计算机应用技术]