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Web Information Retrieval

Knowledge is of two kinds. We know a subject ourselves, or we know where we can find information upon it.

(Samuel Johnson)

Information Retrieval (IR) is dealing with the storage, representation and management of information items. In a classical setting the information items correspond to text documents. With the advent of the World Wide Web, the methods of IR have been transferred to retrieval on the web. This poses different challenges and has spawned the area of Web Retrieval.

The lecture will give an introduction in established retrieval models for text based documents, models that exploit the graph structure of the WWW, the topic of evaluating the performance of retrieval systems and related tasks like classification and clustering of web documents.   

News

  • Date for the written exam is August 4th 2015. The exam will take place in lecture room E-011 from 10.00 (s.t.) to 12.00. Prior registration in KLIPS is required to participate in the exam.
  • No lecture and tutorial on Monday 27th of April.
  • Lecture and Tutorial will start on April 13th.

Organisational information

Klips (Lesson): Link

Klips (Tutorial): Link

Lecture - Web Information Retrieval

Veranstaltungsnummer: 04179

Dozent(in)
  • Thomas Gottron
  • Rene Pickhardt
Termin(e)
  • Mo 14.00-16.00
    C 206, KO Gebäude C

Tutorial - Web Information Retrieval

Dozent(in)
  • Thomas Gottron
  • Rene Pickhardt
Termin(e)
  • Mo 16.00-18.00
    C 206, KO Gebäude C

 

Lecture Material

Slides and additional material will be provided along with the progress of the lecture. 

Lecture

Tutorials

  • Information Seeking (PDF)
  • Evaluation (PDF)
  • Evaluation - Metrics (PDF)
  • Evaluation - Metrics (part 2) / Pre-processing (PDF)
  • Pre-processing (PDF)
  • Vector Space Model (PDF) - MANADTORY ASSIGNMENT
  • Wiki Retrieval (PDF) - MANADTORY ASSIGNMENT

Additional Material

 

Creative Commons License
The lecture material for Web Information Retrieval by Thomas Gottron is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License

Beteiligte: 

Dr. Chandan Kumar

kumar@uni-koblenz.de