Current text search engines always have low search efficiency due to their keyword matching method. rnBased on the comparison of previous works, a thematic search strategy is proposed. The main idea of this strategy rnis grounded on the rich information implicated by the link structure of Wikipedia. It defines a measure of distance between words in terms of DBW, underpinned by computational thematic communities model. In this way, the rnauthors can use this algorithm to rank and reorient the keywords to discover the closest keyword clusters and rnimprove the quality of searching result. Introducing users' appraisal mechanism and making comparison with the rntraditional search engines' outcomes in experiment prove that the strategy expands the thematic coverage and rnmaintains a high users' intent recognition at the same time.%针对目前一般文本搜索引擎采用的的度量方案基础上,利用Wikipedia丰富链接结构所蕴涵信息,提出基于链接结构分析的主题搜索策略.设计了词条相关性算法,用以描述词间距离,并对词条进行相关度的重新排序.实验中引入用户评价机制,并与传统策略搜索结果进行对比.结果证明,该策略在扩大主题覆盖度的同时保证了较高的用户意图识别度.
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