朝乐门,张勇,邢春晓.面向跨领域海量信息资源的元搜索引擎研究[J].中国图书馆学报,2011,37(2):
Meta Search Engines for Massive Cross Domain Information Resources
面向跨领域海量信息资源的元搜索引擎研究
  
DOI:
Key words:Meta search engine, Information resource, Multiple domain ontology, Semantic web,Web2.0
中文关键词:  元搜索引擎,海量信息资源,多领域本体,语义Web,Web2.0
基金项目:
Author NameAffiliation
Chao Lemen 北京石油化工学院经济管理学院讲师清华大学计算机系在站博士后 北京 100084 
Zhang Yong 清华大学信息技术研究院 北京 100084 
Xing Chunxiao 清华大学信息技术研究院 北京 100084 
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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. 4 figs. 1 tab. 36 refs.
中文摘要:
      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Web和Web2.0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。图4。表1。参考文献36。
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