摘要
Deep Web中包含内容丰富、主题专一的高质量信息,为了自动地采集和集成这些数据,数据源的发现是关键。本文设计了一种基于本体的DeepWeb数据源聚焦搜索系统,给出了核心搜索算法。并通过实验,表明该方法是可行有效的。
To experdiently utilize the rich, oriented topic and high quanlity information of Deep Web, the data sources discovery is especially critical in the large-scale integration of Deep Web data sources. This paper proposes a system of ontology-based Deep Web data sources focused crawler and the core algorithm, The experimental results indicate that this method is validatesd well.
出处
《微计算机信息》
2010年第6期27-29,共3页
Control & Automation
