基于Jieba分词的青城旅游景点本体构建研究与应用  

Research and application of the ontology construction of hohhot’s tourist attractions based on Jieba

作　　者：曹丹阳 赵俊生[1] 李尽辉 张林 CAO Dan-yang;ZHAO Jun-sheng;LI Jin-hui;ZHANG Lin(College of Information Engineering,Inner Mongolia university of technology,Hohhot 010080,China)

机构地区：[1]内蒙古工业大学信息工程学院,呼和浩特010080

出　　处：《内蒙古工业大学学报（自然科学版）》2021年第3期218-225,共8页Journal of Inner Mongolia University of Technology：Natural Science Edition

基　　金：内蒙古自治区自然科学基金项目(2015MS0614);国家自然科学基金项目(61966027);内蒙古工业大学自然科学重点基金项目(ZD201416)。

摘　　要：针对游客在旅游网站上查询旅游景点不准确的问题,以青城为例研究了基于Jieba的旅游景点本体构建工作。首先,采用七步法结合“V”形开发过程构建本体;其次,基于每个景点实例进行相关文本数据收集,采用Jieba分词和基于词性的词频统计方式选择属性特征词,根据属性特征词对实例属性进行赋值;最后,根据相关评价指标对构建好的旅游景点本体进行评价。实验结果表明,与传统关键词匹配法相比,基于Jieba的青城旅游景点本体的查询方法提高了查询性能,使查准率、查全率和综合指标F_(1)值的均值分别提升了9%、7.6%和8.5%.For tourists in the tourism website to inquire about the inaccurate problem of tourist attractions,taking Hohhot as an example to study the construction of tourist attraction ontology based on Jieba.Firstly,the seven-step method is adopted to construct ontology in combination with the V-shaped development process.Then relevant text data is collected based on each scenic spot instance.Select the attribute feature with Jieba word segmentation and word frequency statistics based on part of speech,then assign an instance attribute.Finally,evaluating the constructed scenic spot ontology according to the relevant evaluation indicators.The experimental results show that the query method of Hohhot tourist attractions ontology based on Jieba improves the query performance compared with the traditional keyword matching method and the mean value including precision rate,recall rate and comprehensive index F1 value were increased by 9%,7.6%and 8.5%respectively.

关 键 词：本体构建 Jieba分词 词频统计 自然语言处理 查询性能 

分 类 号：TP391.1[自动化与计算机技术—计算机应用技术]