摘要
一个实体有时会属于多个不同的概念,同时也会属于不同粒度的相似概念。提出一种对于给定实体和属性集情况下实体概念化的方法,通过建立概念的属性模板并计算不同属性对于一个概念的典型性来推断实体与不同属性结合时的概念。给出融合4个方面特征的基于贝叶斯的相似候选实体排序模型。实验结果表明,该方法能够有效地提高相似实体的推荐效果。
An entity may belong to several different concepts. At the same time,it may belong to some varigrained similar concepts. This paper proposes a method that handles the entity conceptualization based on the given entities and attribute sets. By establishing concept＇ s attribute template and the typicalness of attributes in the concept, this method deduces an entity＇ s concept when combined with different attributes. It also proposes a Bayesian similar candidate entity ranking model which takes four characteristics into consideration. Experimental results demonstrate that the proposed method can effectively improve the similar entity recommendation effect.
出处
《计算机工程》
CAS
CSCD
北大核心
2016年第10期181-186,共6页
Computer Engineering
基金
国家自然科学基金资助项目(61472085)
上海科技创新行动计划基础研究基金资助项目(15JC1400900)
上海科技启明星计划基金资助项目(13dz226200)
关键词
实体概念化
条件概率
实体相似性
属性分析
链接
实体排序
entity conceptualization
conditional probability
entity similarity
attribute analysis
link
entity ranking
