中文摘要：

属性是一种用于描述概念和鉴别概念的特殊知识.属性名称是表示属性的专有名词.该文提出了一种基于前后缀迭代的方法,从Web网页中获取概念的属性名称.该方法的每一次迭代分为两个阶段：（1）从现有种子属性集中选择合适的前后缀,构造词汇-句法模式,从Web网页中提取候选属性;（2）采用基于相似性的验证模型对候选属性进行验证,以扩充现有属性集合.该文提出了一组验证模型对候选属性进行验证,比较各个模型的优缺点,并在地域类和商业主体类概念上分别得到了平均92.9％和90.7％的准确率,以及对原有种子属性集合近100倍的扩充率.

英文摘要：

Attributes are a special type of knowledge which is used to describe and identify concepts. Attribute names are proper nouns to express attributes. This paper presents a prefix-- and suffix--based method to extract attrib- utes iteratively from Web pages. In this method, each iteration consists of two phases. （1） Selecting a set of appro- priate attribute prefixes and suffixes from the existing attribute seeds, and generating lexico--syntactic patterns to extract candidate attributes from Web pages. （2） Using a similarity--based model to validate candidate attributes to expand the existing set of seed attributes. We propose a group of validation models, and then compare the advanta- ges and disadvantages of each model. We evaluate our method on a group of concepts in the geographic class and business class. Comprehensive experiments show that an average of 92.9% and 90.7% precision are obtained, re- spectively, and the original set of seed attributes are expanded nearly＇ 100 times.