COMP348 : Document Processing and the Semantic Web
COMP348
COMP348 explores the issues involved in building natural language processing (NLP) applications that operate on large bodies of real text such as are found on the World Wide Web (WWW).
With the Web being full of unstructured and largely text-based data, the applications needed to handle this have their own particular characteristics. In this unit we discuss some core applications for dealing with data on the Web, such as spam filtering and search engines. The unit also explores some developments of Web, such as emerging semantic web technologies which support the exchange of XML metadata on the Web, and Web 2.0 technologies (e.g. social networking, folksonomies, wikis and blogs). Application areas covered include information retrieval, web search, document summarisation, machine translation and information extraction.
The unit focuses on the concepts and techniques required to process real natural language text. Students gain practical experience in using the Python programming language to develop language processing systems.
What's New
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[11/2/2009]: Welcome to COMP348. Please read the unit outline. Note that the login component of this unit will be managed by Moodle and not Blackboard/WebCT. During the first lecture and the practical exercises of the second week we will demonstrate how to use it. To login to Moodle, use the username and password of the Computing PC lab.