高级检索

    一种改进的参考文献搜索模型及相关性技术研究

    AN IMPROVED REFERENCE SEARCH MODEL AND RELATIVITY TECHNOLOGIES

    • 摘要: 基于 Web的参考文献检索越来越受到欢迎 ,但是现有的参考文献相关性计算方法不能准确地给出参考文献的相关性 ,从而影响了用户文献检索的质量 .首先给出了一个参考文献结构模型 ,在该模型中提出了虚节点的概念 ,从而大大拓展了文献检索的范围 ;其次在参考文献结构模型的基础上 ,通过充分挖掘参考文献之间的引用关系来计算参考文献在参考文献信息库中的重要性 .通用组合位置 /频率法与参考文献引用相关性技术的结合应用大大提高了文献检索的精度和质量

       

      Abstract: The web based reference search is getting more and more popular. The general reference search provide some advanced search methods, such as topic based, author based, organization based, keyword based, abstract based, publication based, quotation based and fund based search methods, and it also provides the full text based search method. These search methods are all Boolean methods, and all the articles where the query string exists are regarded as the search results. This leads to the poor search quality. The relativity based sorting method can sort the search results by the relativity between the query string and the article, and then the quality of reference search can be improved. But the reference relativity can not be given accurately by the current calculating methods; thereby the quality of reference search is affected. First proposed in this paper is a reference structure model in which the concept of virtual nodes is brought forward and the scope of the reference search is extended greatly. Secondly, based on the reference structure model, the citation relations among the references are mined to calculate the importance of the references in the reference repository. Finally, The precision and the quality of the reference search are improved greatly by combining the foregoing two methods.

       

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