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Research Application of XML Keyword Search with Sorting

机译:用排序研究和应用XML关键字搜索

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Currently, XML has become the fact standard of information description and information exchange. A great deal of data exists in the document's format of XML in the internet. How to acquire useful information from XML data has become the issue and XML keyword search has been highly concerned because of its friendliness for users. This paper does research on the basic task of XML keyword search that is how to effectively find SLCA nodes and also introduces related algorithms to resolve SLCA problem. After analyses and research, the definition of relevancy is present. According to the definition of relevancy, the 'good' and 'bad' of SLCA nodes are effectively measuring. LISA algorithm is extended to support relevancy's computing and then the XML keyword search with sorting is realized. In the end, the extended LISA algorithm is applied in cooperative working platform of personal scientific research information and good effect is received.
机译:目前,XML已成为信息描述和信息交换的事实标准。在Internet中的文档的XML格式中存在大量数据。如何从XML数据获取有用的信息已成为问题,XML关键字搜索是由于其用户友好而受到高度关注的。本文对XML关键字搜索的基本任务进行了研究,即如何有效查找SLCA节点,并引入相关算法来解决SLCA问题。在分析和研究之后,存在相关性的定义。根据相关性的定义,SLCA节点的“良好”和“坏”是有效的测量。 LISA算法扩展以支持相关性的计算,然后实现具有排序的XML关键字搜索。最终,扩展的LISA算法应用于个人科学研究信息的合作工作平台,并收到了良好的效果。

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