计算机应用研究2017，Vol.34Issue(2)：347-350,396,5.DOI:10.3969/j.issn.1001-3695.2017.02.006
基于融合特征相似度的实体消歧方法研究
Research on entity disambiguation method based on fusion feature similarity
摘要
Abstract
Under the environment of digital resource increasingly rich,personal name entity ambiguity phenomenon has brought a lot of uncertainty for data retrieval,and reduces the accuracy of the data retrieval.This paper used personal characteristics of personal name entity and subject characteristics of the literature,fully mined the information associated with the entity based on many characteristics fusion method,to achieve the personal name entity disambiguation.The experiments used the crawled literature data of a database,and researched on the feature selection of personal name entity disambiguation and determination of the parameters.The results show that the proposed method has good feasibility.关键词
实体特征/主题信息/特征相似度/人名消歧Key words
entity characteristics/topic information/features similarity/personal name entity disambiguation分类
信息技术与安全科学引用本文复制引用
张雄,陈福才,黄瑞阳..基于融合特征相似度的实体消歧方法研究[J].计算机应用研究,2017,34(2):347-350,396,5.基金项目
国家自然科学基金资助项目(61171108) （61171108）
国家“973”计划资助项目(2012CB315901,2012CB315905) （2012CB315901,2012CB315905）
国家科技支撑计划资助项目(2014BAH30B01) （2014BAH30B01）
