【24h】

VISUALIZE THIS

机译:可视化此

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摘要

Three students hunch over their computers, each doing research for a paper on nanotechnology.They all began their assignment with a simple Google search, only to learn that there are "2,500,000 English pages for nanotechnology." Their problem is not simply the number of pages available on the topic but also their very different interests: one is working on an assignment for biology class, one is studying engineering, and the third is studying business. Google's success—and its challenge—is that it is an extremely efficient word finder; it builds indexes of the words on web pages. But words can be tricky things when it conies to conveying meaning. And a simple list of web pages containing those words doesn't provide us with much insight. Visualization software is designed to help users get a "picture" of the meaning behind the words. Its underlying premise is that information retrieval benefits from smart organization of content. With visualization software, our three students could see their search results clustered to represent the different aspects of nanotechnology.They can then iteratively drill down in the appropriate cluster, all the while narrowing their search and learning more about their specific topic. As a result, those 2.5 million Google results become a gateway to discovery as well as to meaningful answers.
机译:三名学生弯腰着电脑,每个人都在研究纳米技术。他们都通过一个简单的Google搜索开始了他们的作业,却发现“纳米技术有250万个英语页面”。他们的问题不仅在于该主题的可用页面数,而且还在于他们截然不同的兴趣:一个人在从事生物学课的作业,一个人在研究工程学,第三人在研究商业。 Google的成功及其挑战在于,它是一个非常高效的单词查找器;它建立网页上单词的索引。但是,当言语表达意思时,言语可能是棘手的事情。包含这些单词的简单网页列表并不能为我们提供太多的见识。可视化软件旨在帮助用户获得单词背后含义的“图片”。其基本前提是信息检索得益于内容的智能组织。借助可视化软件,我们的三名学生可以看到他们的搜索结果聚集在一起,以代表纳米技术的不同方面,然后他们可以迭代地深入研究适当的群集,同时缩小搜索范围并进一步了解其特定主题。结果,这250万个Google搜索结果成为发现和有意义​​答案的门户。

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