Expected learning outcomes

After completing the course, the students shall have an understanding of the inner structures of database-driven systems for electronic publishing and content-based retrieval. The students shall be able to use and develop meta-data models and standards to be used for publishing different types of media data. In addition, the students shall be able to evaluate and analyze solutions for storing and retrieving XML-encoded and textual data stored in fulltext formats.

Topic(s)

• N-tier architectures
• EER modeling
• Relational models
• Indexes and database tuning
• Ontologies, metadata formats and standards for electronic publishing
• Storage and retrieval of XML-data in databases
• Temporal og historical data
• Geographical data og location-based publishing
• Content-based indexing og retrieval (text, images, audio, and video)

Teaching Methods

Lectures
Exercises
Project work

Form(s) of Assessment

Written exam, 5 hours
Evaluation of Project(s)

Form(s) of Assessment (additional text)

Written Exam counts 60%.
Evaluation of Project counts 40%.
Each part must be individually approved of.

Grading Scale

Alphabetical Scale, A(best) – F (fail)

External/internal examiner

External examiner evaluates a selection of exams

Re-sit examination

No re-sit offered.

Teaching Materials

Textbooks:

• Fundamentals of Database Systems, Elmasri & Navathe, 4th Edition, Addison Wesley, 2004
• Introduction to Information Retrieval, Manning, Raghavan, Schütze, Cambridge University Press. 2007

Other:

• Handouts

Replacement course for

IMT4431 - Databases in Electronic Publishing