【摘要】 跨领域海量信息资源搜索是从事交叉学科和跨学科研究的重要前提。元搜索引擎不仅可以避免独立搜索引擎覆盖面较低的局限性,而且还可以充分发挥不同独立搜索引擎之间的互补性。基于元搜索引擎的跨领域海量信息资源搜索需要解决四个关键问题,即协助用户准确表达搜索意图、消除检索词的"一词多义"和"多词一义"现象、设计自动调整检索范围的机制以及发挥用户价值。面向跨领域海量信息资源的元搜索引擎采用多领域本体、语义W eb和W eb2.0技术,较好地解决了元搜索引擎的上述四个关键问题。相对于传统元搜索引擎,面向跨领域海量信息资源的元搜索引擎在基本思路、框架设计、流程设计、关键技术四个方面发生了重要变化。更多还原

【Abstract】 It is essential for cross discipline researchers to search massive cross-domain information resources.Meta-search engines are widely used for that purpose.However,today’s meta-search engines are facing four challenges: to help users express accurately their search intentions,to overcome vocabularies mismatching of polysemy and synonym,to adjust automatically the search scope,and to maximize user-added values.Based on technologies of multiple domain ontologies,the Semantic Web and Web2.0,a new search engine for massive cross-domain information resources is proposed and may provide possible solutions to the above four problems.Compared to the traditional meta-search engines,the new one makes four important changes in terms of basic principles,framework design,main procedures and key technologies.更多还原