Department of Information and Computing Sciences

Departement Informatica Onderwijs
Bachelor Informatica Informatiekunde Kunstmatige intelligentie Master Computing Science Game&Media Technology Artifical Intelligence Business Informatics

Onderwijs Informatica en Informatiekunde

Vak-informatie Informatica en Informatiekunde

Seminar Content and knowledge engineering

Website:website containing additional information
Course code:INFOSCKE
Credits:7.5 ECTS
Period:period 1 (week 36 through 45, i.e., 3-9-2009 through 6-11-2009; retake week 52)
Timeslot:C
Participants:up till now 18 subscriptions
Schedule:Official schedule representation can be found in Osiris
Teachers:Dit is een oud rooster!
formgrouptimeweekroomteacher
seminar          Frans Wiering
 
Contents:

Findability

Google serves as the de-facto baseline for current retrieval technology. But research has continued beyond Google, for example in image, video and music retrieval. And there are quite some (smaller) enterprises that make such technology the core of their competitor to Google, often targeting a specific domain. As almost all information is accessible through the Internet, the issue of handling the information overload becomes critical. How can we find the exact information we need, and how can businesses make sure the right customers find them?

Possible subtopics for this seminar include:

  • new methods for searching text and multimedia
  • cognition and feature modelling
  • role of the social web
  • assessing quality, effectivity and reliability in retrieval
  • search industry: engines, recommendation and business model(s)
  • searching using mobile devices
Literature:Peter Morville. Ambient Findability. O'Reilly, 2005. ISBN 0-596-00765-5
Papers and articles, to be announced.
Course form:

Students will give presentations about the book and selected papers during the first part (c. 5 weeks, two meetings/week) of the Seminar. All participants are required to study the literature, to attend Seminar sessions and to actively participate in discussion.

During the rest of the Seminar, students define and execute a project, for example:

  • design or implement novel search method
  • evaluation of technology
Projects can be selected to suit the background of the students; they will be publicly presented at the end of the seminar.
Exam form:

Participation and presentations will be judged individually (1/3 of final grade). The final project is marked with a grade (2/3 of final grade).
Both grades must be 6 or higher to pass.

Minimum effort to qualify for 2nd chance exam:In order to participate in the 2nf chance exam, the minimum grade for the fist chance needs to be at least a 4 for both the participation/presentation grade and the project grade.
Description:This course is open to all CKE master students; MBI and GMT master students can follow this seminar al well. Students from other master programs must contact Frans Wiering to discuss admission. The total number of participants is limited.
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