Department of Computer and Information Science

TDT4215 Web-intelligence Spring 2014


Course datafrom the catalog


Prof. Jon Atle Gulla (Coordinator) ITV-114 jag'at'
Oystein Nytro (Lectures) ITV-022 nytroe'at'
Laura Slaughter (Lectures) ITV-011 lauras'at'
Soudabeh Khodambashi (Assignments & Lectures) ITV-010 Soudabek'at'


Mondays 0815-1000/1100 B2 Lectures
Mondays 1615-1800 B3 Exercises

General Course Description

The objective of the course is to give the students a firm understanding of how advanced technologies from information retrieval, linguistics, text mining and the Semantic Web can be used to access or explore knowledge in web-based information sources. The information may be available on the Web or structured in large-scale enterprise systems.

TDT4215 is a combination of lectures and exercises. The course may be taught in English if it is taken by students with no Norwegian language skills. Portfolio assessment is the basis for the grade in the course. The portfolio includes a final written exam (75%) and a group assignment (25%). The results for the parts are given in %-scores, while the entire portfolio is assigned a letter grade.

keywords: Information retrieval and search technologies. Linguistic and statistical techniques for text mining. Text categorization, clustering, collocations, and concept extraction. Semantic Web. Ontology Web Language (OWL). Ontologies in knowledge management.

Group Assignment (25% of grade)

Groups of 3-5 students develop an application that addresses important aspects of the course. Each group presents their work and hand in a report in the middle of the term. More information is available from the teaching assistants.

Individual Exam (75% of grade)

May 19 2014 (Location will be published in studweb 3 days in advance.)
Time: 09.00-13.00 (4 hours)

No printed or handwritten materials allowed. Simple calculator allowed.

The examination is based on a text book, a collection of papers and all the lectures given. The exam questions range from simple applications of central formulas to your own judgments of issues in information retrieval, text mining and the Semantic Web. Multiple-choice questions as well as small factual questions will be included. There are no programming tasks on the exam. A list of formulas from the book and the papers/chapters are included at the end of the exam set, though without further explanation. All answers are to be entered directly on the question sheet and no additional sheets of paper are to be handed in.

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