基于Deep Web检索的查询结果处理技术的应用

针对当前Deep Web信息检索中Web数据库返回的查询结果页面内容多样、形式各异、有效信息难以提取等不足,将信息抽取与数据融合技术加以改进,提出了对查询结果页面进行处理的技术.该技术通过对HTML页面解析、信息过滤、分块、剪枝、提取抽取规则,实现了有效信息的自动抽取.通过建立合并规则、去重规则、清洗规则,实现了数据的有效融合,并最终以统一的模式进行存储.最后,通过相关项目应用,验证了该技术的有效性和实用性.

Application of dealing technology with query results based on deep web information retrieval

To solve present multiplicity of contents and forms,difficult-extraction of effective information problems about query results from web database in deep web information retrieval,the technical methods dealing with the query results is presented by improving the information extraction and data fusion technology.The technology realizes automatic-extraction of effective information through parsing of HTML documents,information filtrating,classifying,cutting,distilling extraction rules.And fusion rules,none-rei...