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Module Title |
Information Access
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Module Code |
CA652
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School |
School of Computing
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Online Module Resources
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| Module Co-ordinator | Prof Alan Smeaton | Office Number | L2 39A |
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Level |
1
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Credit Rating |
7.5
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Pre-requisite |
None
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Co-requisite |
None
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Module Aims
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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 evolving area of metadata standards.
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Learning Outcomes
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The learning outcomes are equivalent to the aims. Upon completing the course, the student should be familiar with aspects of information management, which impact the e-commerce area. Specifically this involves access to databases and unstructured data in conventional test retrieval engines and multimedia retrieval engines as well as the evolving area of metadata standards.
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Indicative Time Allowances
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Hours
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Lectures |
36
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Tutorials |
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Laboratories |
24
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Seminars |
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Independent Learning Time |
52.5
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Total |
112.5
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Placements |
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Assignments |
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NOTE
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Assume that a 7.5 credit module load represents approximately 112.5 hours' work, which includes all teaching, in-course assignments, laboratory work or other specialised training and an estimated private learning time associated with the module.
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Indicative Syllabus
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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 searching: Web 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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| Assessment | | Continuous Assessment | 30% | Examination Weight | 70% |
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Indicative Reading List
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Modern Information Retrieval Ricardo Baeza-Yates, Berthier Ribiero-Neto Addison Wesley; 2 edition (15 Sep 2008)Understanding Search Engines: Mathematical Modeling and Text RetrievalMichael W. Berry, Murray Society for Industrial Mathematics; 2 edition (1 May 2005)
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Programme or List of Programmes
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| BSSA | Study Abroad (DCU Business School) |
| BSSAO | Study Abroad (DCU Business School) |
| ECSA | Study Abroad (Engineering & Computing) |
| ECSAO | Study Abroad (Engineering & Computing) |
| EMBIN | European MSc in Business Informatics |
| HMSA | Study Abroad (Humanities & Soc Science) |
| HMSAO | Study Abroad (Humanities & Soc Science) |
| MECT | MSc in Electronic Commerce (Technical) |
| SHSA | Study Abroad (Science & Health) |
| SHSAO | Study Abroad (Science & Health) |
| Archives: | |
