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语义网教程短片
A short Tutorial on Semantic Web |
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| 课程网址: |
http://videolectures.net/solomon_sure_stsw/
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| 主讲教师: |
Andreas Hotho, York Sure
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| 开课单位: |
卡塞尔大学
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| 开课时间: |
2007-02-25
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| 课程语种: |
英语
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| 中文简介: |
随着万维网的发展，电子存储信息的可用性大大增加。当前，WWW包含十亿多个文档，但是对访问和处理信息的支持是有限的。大多数信息只能呈现，但计算机无法理解。蒂姆·伯纳斯·李（Tim Berners Lee）设想了语义网，该语义网旨在通过机器可处理的数据语义来提供对信息的自动访问。本体形式化了对领域的共同理解，因此对于人类与软件代理之间的交流起着至关重要的作用。我们将介绍语义网的基本思想，并在不久的将来介绍本体作为语义网的基础。此外，我们将显示设置语义Web所需的精力以及工具如何支持此过程。另外，可以使用Web和数据挖掘技术来引导语义Web。语义Web挖掘的思想是通过利用Web中的新语义结构来改进Web挖掘的结果。
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| 课程简介: |
The availability of electronically stored information increased drastically through the development of the World Wide Web. Currently the WWW contains more than a billion documents, but support for accessing and precessing information is limited. Most information is only presentable but not understandable by computers. Tim Berners-Lee envisioned the Semantic Web that aims at providing automated access to information due to machine-processable semantics of data. Ontologies formalize a shared understanding of a domain and therefore play a crucial role for communication among human beings and software agents. We will present the underlying ideas of the Semantic Web and will shortly introduce ontologies as the backbone of the Semantic Web. Further we will show how much effort is necessary to setup the Semantic Web and how tools can support this process. Additionally Web and Data Mining techniques can be used to bootstrap the Semantic Web. The idea of Semantic Web Mining is to improve the results of Web Mining by exploiting the new semantic structures in the web.
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| 关 键 词: |
电子存储; 语义网; 数据挖掘
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| 课程来源: |
视频讲座网
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| 最后编审: |
2019-09-22：cwx
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| 阅读次数: |
34
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