In the era of big-data, how to apply the data better has become quite a heated discussion. Web 3.0 tech-nologies could realize the depth mining of information, and integrate and dock information which users need from the internet. This article will use the literature research, the related literatures to analyze the differences among the Web 2.0, Web 1.0, and Web 3.0 and discussed the key technology to access to the intelligence under the current environment. And it found that intelligence access under the Web 3.0 technology has been able to achieve a so-phisticated model such as collaborative filtering, but some problems still remain for further in-depth study.%大数据时代下，如何对数据进行更好的应用，已经成为当前研究热点.Web 3.0技术可以实现信息的深度挖掘，并将散布于网络中的信息点及用户需求点予以有效整合及对接.采用文献研究法，对相关文献进行梳理，进一步的分析Web 3.0的内涵以及其与Web 2.0、Web 1.0的主要区别，并就Web 3.0以及当前环境下信息智能获取关键技术进行分析和探讨，发现Web 3.0下信息智能获取技术已经能够实现协同过滤等难度较大的模型，但是还存在着一些问题，尚待进一步的深入研究.
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