Web information processing The Internet has become an integral part of our society and economy over the last two decades. The way we access, provide, and exchange information has changed dramatically with the rise of the Internet. You will learn methods and techniques for the design, implementation, and use of information processing technology in the context of a variety of Internet applications, ranging from search engines to text analysis.
Web Information Processing has developed from a number of research areas, including Computer Science, Library Science, Artificial Intelligence, Data Mining, and Natural Language Processing. While Web Information Processing builds on techniques from a variety of research areas, there are a number of research problems that are specific to the Web applications, such as the design of Internet search engines, efficient linking of related information across the Web, improving information extraction from social networking sites, and the access of foreign language information. In addition, the sheer scale of the Internet opens up tremendous opportunities for data mining approaches, while at the same time posing interesting research challenges with respect to robustness and scalability.
Within the Web Information Processing track you will be familiarized with several data mining, natural language processing, and link-based techniques that are not only relevant to this track but also to many other Artificial Intelligence applications.
As the Internet is rapidly developing, so is the research covered in the Web Information Processing track. This track does not only cover the well-established techniques within the area but is also very much forward-looking, discussing the science behind cutting-edge technologies and anticipating Web technologies that yet have to be fully realized. This will enable you to participate in and help drive future developments of Web information technologies in a commercial or academic environment.
Besides the core curriculum the following courses are offered in the Web Information Processing track:
* Advanced Information Processing (track course) * Web Text Mining (track course) * Machine Learning: Principles and Methods * Unsupervised Language Learning * Speech Perception and Production * Statistical Structure in Language Processing * Advanced Database Systems * Qualitative Reasoning * Knowledge Communication
Applicants with a Dutch Bachelor's degree in Artificial Intelligence or Computer Science are admitted automatically. Students with a comparable level of skills and knowledge and who hold at least a Bachelor degree in an area closely related to Artificial Intelligence can apply. They may be required to take additional courses before admission or during their Master. Applicants should also have an interest in developing scientific methods for complex problems in an applied setting.
Recipient: University of Amsterdam
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