云计算环境下可视化探索式搜索引擎的研究

针对目前搜索引擎返回的信息量过大且缺乏语义关联等问题,提出了一种云计算环境下的可视化探索式搜索引擎模型.该模型通过对元搜索引擎返回的原始信息在云计算环境下语义相似度的计算和语义链的构建,采用探索式搜索方法为用户获取个性化的结果.与传统搜索引擎相比,其结果更加直观地表现了目标信息及其之间丰富的语义关系,该方法使用户能够更为自然而有效地在海量的信息中发现更符合其需求的目标.作为实验模型,还需要更多的元搜索引擎的支持,以及进一步计算优化语义相似度的算法,才能使该模型真正实用化.本研究为云计算环境下构建新一代个性化智能搜索引擎提供了理论和实践上的参考.

The Research on Visual Exploratory Search Engine in Cloud Computing Environment

A visual exploratory search engine model based on cloud computing has been proposed for the enormous numbers information and lack of Semantics relationship of the traditional search engine.The model obtains personalized result for users using exploratory search method,via semantic similarity computation and semantic link construction on the raw information returned from meta-search engine.Compared with the traditional search engine,the results are more intuitive on the represent of the target information and their rich semantic relations.Users can more naturally and efficiently found their target in line with their needs in the massive amount of information.As an experimental model,in order to make this model practical,it needs more meta-search engine's support,and further optimization of semantic similarity computation algorithm.The research of the model provides theoretical and practical reference for the construction of new generation of personalized intelligent search engine on the cloud computing environment.