Internet-Suchmaschinen

Teaching personnel


Lecturer
Tutor(s)

Formalia


Targeted audience
  • Angewandte Informatik Bachelor
  • Komedia Bachelor

Dates


Lectures

Date

Time

Place

20. 4. 20 - Online/Moodle

Tutorials

Date

Time

Place

Tutor

Friday09:00 - 10:00Online/MoodleDr. Ahmet Aker

Examination Dates


Oral Exam

PeriodPlace
28.09.2020 - 28.09.2020LF/135

As usual, you have to register at the Prüfungsamt for the exams. Normally, you have to do nothing else!

We will schedule your exam during the period specified above. The personal appointments for the oral exams will be announced at our Web site on the last Tuesday before the exam week

Only if (and only then!!!) you are not available on this full day, please send an email to Prof. Fuhr . Please observe the following guidelines:

  • Do not mail us earlier than 4 weeks before, and no later than 2 weeks before the exam period.

Emails not following the rules from above will not be answered (like those saying 'Please give me an appointment for my exam in ...', or emails not originating from a uni-due.de mail account)

 

Description


Internet search engines are the central starting point for satisfying today's information needs. These engines are representatives of the broader class of informaiton retrieval systems, which are applied in many other environments (like e.g. internet shops, digital libraries, help systems, enterprise search).

This course will introduce the basic models and concepts for content-oriented search in the Web and other text collections. In the exercises examples will deepen the understanding of the theoretical concepts, and small practical exercises will be carried out. In the lab part, students will work on the configuration, application and evaluation of search engines.

Content:

  • Basic concepts (information literacy, vagueness and uncertainty, data, information and knowledge)
  • Representation of text content (free text search, classifications, ontologies)
  • Models (boolean, fuzzy, vector space, probabilistic retrieval, Web retrieval)
  • Evaluation (effectiveness vs efficiency, relevance, metrics for boolean retrieval, evaluation of linear rankings)
  • Interactive Retrieval (information seeking behavior; information search; system functions, user interfaces)