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A Roadmap for Web Mining: From Web to Semantic Web

机译:Web挖掘路线图:从Web到语义Web

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摘要

The purpose of Web mining is to develop methods and systems for discovering models of objects and processes on the World Wide Web and for web-based systems that show adaptive performance. Web Mining integrates three parent areas: Data Mining (we use this term here also for the closely related areas of Machine Learning and Knowledge Discovery), Internet technology and World Wide Web, and for the more recent Semantic Web. The World Wide Web has made an enormous amount of information electronically accessible. The use of email, news and markup languages like HTML allow users to publish and read documents at a world-wide scale and to communicate via chat connections, including information in the form of images and voice records. The HTTP protocol that enables access to documents over the network via Web browsers created an immense improvement in communication and access to information. For some years these possibilities were used mostly in the scientific world but recent years have seen an immense growth in popularity, supported by the wide availability of computers and broadband communication. The use of the internet for other tasks than finding information and direct communication is increasing, as can be seen from the interest in "e-activities" such as e-commerce, e-learning, e-government, e-science.
机译:Web挖掘的目的是开发用于发现万维网上的对象和过程模型以及具有自适应性能的基于Web的系统的方法和系统。 Web Mining集成了三个父级领域:数据挖掘(在此我们也将术语用于机器学习和知识发现的紧密相关领域),Internet技术和万维网以及最新的语义网。万维网使电子可以访问大量信息。电子邮件,新闻和HTML等标记语言的使用使用户可以在全球范围内发布和阅读文档,并通过聊天连接进行通信,包括图像和语音记录形式的信息。 HTTP协议允许通过Web浏览器通过网络访问文档,从而极大地改善了通信和信息访问。多年来,这些可能性主要用于科学界,但近年来,在计算机和宽带通信的广泛普及的支持下,其普及程度大大提高。从查找诸如电子商务,电子学习,电子政务,电子科学等“电子活动”的兴趣可以看出,将互联网用于查找信息和直接通信以外的其他任务的情况正在增加。

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