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.