TIETS42 Databases and Information Retrieval Integration 5 ECTS
Organised by
Degree Programme in Computer Sciences
Preceding studies
Recommended:
Corresponding course units in the curriculum
School of Information Sciences
Curricula 2015 – 2017

General description

Databases and information retrieval are two areas that have been developed separately. They have focused on different areas of application and, consequently, have given emphasis to different methodologies. Specifically, in databases, we pose queries to data with a particular schema, using an algebra, and care about the accuracy of the queries results, while in information retrieval, we mainly focus on queries, expressed with keywords, on free text documents and on how to rank the queries results based on statistics and probabilities. Nowadays, there are many applications that require the concurrent management of structured and unstructured data, so necessary shows the integration of these two works.

Learning outcomes

After completing the course, the student is expected to:
- know the basic concepts and techniques for the integration of databases and information retrieval,
- be able to handle contemporary research issues and problems on the topic, and
- be able to perform a comparative assessment of existing works.

Contents

Top-k and skyline queries. Keyword-based search. Preferential search. Recommender systems. Social search. Result diversification.

Modes of study

Option 1
Available for:
  • Degree Programme Students
  • Other Students
  • Open University Students
  • Doctoral Students
  • Exchange Students
Participation in course work 
In English

Lectures, weekly exercises, student presentations in class.

Evaluation

Numeric 1-5.

Belongs to following study modules

Faculty of Natural Sciences
Faculty of Natural Sciences
Faculty of Communication Sciences
2017–2018
Teaching
-
Faculty of Natural Sciences