Information Retrieval
2010-04-01

Teaching personnel


Lecturer
Tutor(s)
Corrector(s)

Formalia


Targeted audience
  • DAI Hauptstudium with 12 credit points : Informatik der Systeme oder Bereich "D"
  • Angewandte Informatik Master: AI MA
  • Angewandte Informatik Bachelor: AI Schwerpunkt Medieninformatik: Erste Hälfte der Vorlesung (bis einschließlich Visualisierung), mit Übungen und Praktikum
  • Komedia Bachelor: Erste Hälfte der Vorlesung, mit Übungen

Dates



Examination Dates


Exam

Date

Time

Place

Degree

21. 07. 201010:00 - 11:30LF/310
Bachelor AI

Oral Exam

PeriodPlaceDegree
13.09.2010 - 16.09.2010LF/135
Diplom AI
 

Description


First tutorial: Fr., 16.4.2010. (depending on the group)

Information Retrieval (IR) deals with information search in purely structured data like e.g. fulltexts or multimedia databases. Popular applications are web search engines, digital libraries and multimedia archives (e.g. for images).

Due to the vagueness of the information need and the uncertain representation of the content of the stored objects, standard database techniques are not appropriate. Instead, the concepts have to be extended to deal with vagueness and uncertainty. As the major focus is on content-oriented search, special techniques for representing the content of text and multimedia objects are required.

This lecture introduces the underyling concepts of IR and illustrates them based on special application areas.

Content:

  • A) Basic concepts (information cycle, evaluation)
  • B) Representation of content (free text search, documentation languages, special logics)
  • C) Models (classic models, models for multimedia documents)
  • D) Implementation of IR systems (layer model, visualisation, access paths, algorithms)
  • E) IR tasks (retrieval, filtering, categorisation, cross-language retrieval, text mining, summarization)
  • F) Application areas (web search engines, multimedia digital libraries, IR and databases)

Additional material


Besides the slides and the lecture notes, the following books and lecture notes are recommended:

Lecture notes

(The lecture notes only partialy cover the content of the lecture, some parts are available only as slides.)

Links

Material for the tutorials


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Arbeitsblätter

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