However, traditional Search Engine adopts full-text retrieval technique based on keyword match, and it results in having no all-sided retrieval result and more outlying information.

然而由于传统的搜索引擎基本上都是采用基于关键词匹配的全文检索技术，导致检索结果不全、无关信息过多。

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With the current technology of Information Retrieval, this paper proposes a method of automatic keyword extraction from massive data sets based on feature combination.

本文利用现有的信息检索技术，对海量数据集上自动抽取关键词问题进行了研究，给出了一个基于特征组合的关键词自动抽取方法。

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It designs and implements XML tagging, indexing, keyword retrieval and structural retrieval on Chinese thesis, and finally constructs an XML-based Chinese thesis retrieval system.

对博硕士论文数据集的XML标引、索引、关键词检索和结构化检索分别进行设计和实现，构建一个基于XML的中文博硕士论文检索系统。

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