【摘要】 实例扩展与属性值扩充是Web抽取与集成领域中的一个重要研究课题,将Web数据列表和实例建模成二分图,根据扩展实例的质量分数,对扩展集合进行迭代更新直到扩展集合的质量分数最大,且扩展集合不再更新来实现实例的扩展。同时,为了完善扩展实例的属性信息,对结构化数值属性或离散属性进行抽取,提出了基于整数线性规划的属性值扩充方法。实验表明,与以前的方法相比,本方法能更好地处理含有噪声数据的Web网页,并提高了抽取的准确率和召回率。更多还原

【Abstract】 Entities expansion and attribute values discovery has been an important research topic in the field of Web data extraction and integration.In this paper the Web table and domain entity were modeled as bipartite graph.Based on quality score,the expansion entity set will be update iteratively until the expansion entity set’s quality score reaches a local maximum and the expansion entity set will not update.To collect structured numerical or discrete attributes of the entities,we presented a method based on ILP to complete the attribute values discovery of the entities.Experiment results show that the proposed approach outperforms previous techniques in terms of both precision and recall.更多还原