Study-Unit Description

Study-Unit Description


CODE CSA5026

 
TITLE Language Technology for the Web

 
UM LEVEL 05 - Postgraduate Modular Diploma or Degree Course

 
MQF LEVEL Not Applicable

 
ECTS CREDITS 6

 
DEPARTMENT Intelligent Computer Systems

 
DESCRIPTION In this unit, we will investigate which tools and technologies are currently available to achieve human-machine content co-creation, and what are their limitations. We will analyze how Language Technology and Natural Language Processing techniques contribute to information extraction and eventually from the web and its reuse.

The role that tagging (i.e. keywords used to describe the resources contributed by users in social media applications) is gaining in the Social Web will be addressed. We will analyze various algorithms that can be employed to extract structured information from tags leading to a categorization of knowledge that takes users into account. More specifically, we will focus on how the application of Semantic Web technologies, such as ontologies, to the Social Web is leading towards the Social Semantic Web, in which users, resources and knowledge are closely interlinked.

Textbooks:
• Breslin, J. G., Passant, A., Decker, S. "The Social Semantic Web". Springer Verlag (2010).
• Several articles for the Language Technology applications to the Semantic Web and Social Web.

 
STUDY-UNIT TYPE Seminar and Tutorial

 
METHOD OF ASSESSMENT
Assessment Component/s Sept. Asst Session Weighting
Classwork Yes 10%
Presentation Yes 10%
Project Yes 30%
Assignment Yes 50%

 
LECTURER/S Alexiei Dingli

 

 
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It should be noted that all the information in the description above applies to study-units available during the academic year 2023/4. It may be subject to change in subsequent years.

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