Registry
Module Specifications
Archived Version 2015 - 2016
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Description The aim of this module is to familiarise the student with aspects of information management, which impact the e-commerce area. This includes conventional databases, access to text documents and to multimedia information as well as the emerging important topics of semantic web, blogging and microblogging, and social networks. | |||||||||||||||||||||||||||||||||||||||||
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Learning Outcomes 1. understand and apply the principles of relational database design in a real world scenario. 2. describe the ways in which XML markup is used in modern web-based applications 3. explain the importance of modern ways for creating user-generated content such as blogs, tags and wikis 4. contrast the different ways in which systems for managing personal media operate 5. summarise the importance of multi-lingual information access 6. indicate how collaborative information retrieval functions 7. discuss how the techniques for text-based information retrieval are used | |||||||||||||||||||||||||||||||||||||||||
All module information is indicative and subject to change. For further information,students are advised to refer to the University's Marks and Standards and Programme Specific Regulations at: http://www.dcu.ie/registry/examinations/index.shtml |
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Indicative Content and
Learning Activities What is information access in the context of eCommerce ?Information access now - types of information access people are doing - principally web search - hypertext searching vs DB searchingWeb searching and web search engines -text-based IR, Boolean, weighted terms, ranking, Hal Varian's economics of search, using links information in web searching, question-answering (TREC); Information access to non-text - Audio Image and Video leading on to digital TV and covering encoding formats and current technologies for capturing, storing, presenting and accessing such media; Databases - relational - info access to non-structured - basic organisation of information as tables with foreign/primary keys and constraints - take a complex worked example, such as NAPSTER and show it as a R.DBMS, just for illustration; Data mining from web usage information -what information can we extract from web usage, and how, and what can we use it for; XML and XML databases - all the history, the terminology, the status, the trends - how XML is/can be used in B2B, CEC (consumer-oriented eCommerce) -what are the pitfalls and the potential. Students will use DCU as a worked example from a practical perspective and as the basis for projects. | |||||||||||||||||||||||||||||||||||||||||
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Indicative Reading List | |||||||||||||||||||||||||||||||||||||||||
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Other Resources None | |||||||||||||||||||||||||||||||||||||||||
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