基于解释学习的包装器生成

开发Web信息抽取系统的核心是为各个Web信息源构造包装器，而构造包装器的关键在于规则学习器。鉴于传统的规则学习器一般都基于单一的学习策略，结合归纳学习和分析学习的优点，提出了基于解释学习的规则学习器，以此为核心生成包装器，并将其应用到了实际的包装器生成系统中去。

Wrapper Generation Based on Explanation Learning

The key component in the web information extraction system is the wrapper constructed for each web data source,and the kernel of a wrapper is a rule learner.In view of the traditional wrapper based on single-strategy in a general way,combining the advantage of induction learning and analysis learning,this paper brings forward an explanation-based learning rule learner and wrapper generation method.Furthermore,it applies the method to the instance of wrapper generation system.