基于属性关联相似度的中文简称匹配算法研究

Research of Chinese Abbreviated Name Matching Algorithm Based on the Similarity of Associated Attribute

字符匹配是数据清洗中提高数据质量的重要途径。针对中文名词简称的匹配问题,在分析现有中文匹配算法的基础上,提出一种基于数据库中各属性关联度的匹配算法,通过对匹配名词所处属性的关联属性的数据对比相似度,按照中文简称和全称数据量设置置信度,从而得到简称匹配度。实例实验表明,该算法具有较好的适用性和准确性。

Character data matching is an important way to improve the quality in data cleansing. For the problem of Chinese short term matching,based on the analysis of existing Chinese matching algorithm,a new matching algorithm is proposed based on database each attributes associated degree. Abbreviated matching degree is counted by the associated attribute comparison similarity in which Chinese abbreviated term is confident in accordance with the amount of data of Chinese abbreviated and full name.