云南种子植物特有属领域词语相似度算法研究  

Research on Algorithm for Calculating Word Similarity in the Field of Endemic Genera of Seed Plants in Yunnan

作　　者：陆国泉 彭琳[1] 庞雪[1] 

机构地区：[1]云南农业大学云南省高校农业信息技术重点实验室,昆明650201

出　　处：《湖北农业科学》2017年第7期1356-1358,1363,共4页Hubei Agricultural Sciences

基　　金：国家自然科学基金项目(31260292)

摘　　要：以《同义词词林》为基础,结合云南种子植物特有属领域知识补充了《同义词词林》中该领域的词语,并提出了一种基于同义词词林的词语相似度改进算法。经过测试对比,在植物检索领域该计算方法比一般的基于同义词词林的词语相似度算法更加准确,而且召回率得到了明显提升,更适用于云南种子植物特有属领域信息的检索。An improved word similarity algorithm put forward based on cilin combined with the knowledge of the endemic gen-era of seed plants in Yunnan supplement the words about this field. Experiment results illustrate that this improved algorithm for calculating word similarity based on ＆quot;cilin＆quot; is more precise than general algorithm for calculating word similarity based on＆quot;cilin＆quot; and recall has been significantly improved. Therefore,this improved algorithm is more suitable for the semantic re-trieval system in the field of endemic genera of seed plants in Yunnan.

关 键 词：同义词词林 词语相似度算法 云南 种子植物 特有属 

分 类 号：Q949[生物学—植物学] G354.4[文化科学—情报学]