Description: More and more Semantic Web (SW) data has become available in recent years. There is thus an increasing demand for integrating and analysing very large amounts of Semantic Web data originating from many different sources.
Data warehouses (DWs) have been the de facto technology for integrating and analysing large amounts of data with fast response time. Traditionally, DWs have been storing structured data from mostly relational data sources in a multidimensional way. However, Semantic Web data is rapidly becoming a more and more important source of data for DWs, the primary SW data format is the Resource Description Format (RDF) which structures data as triples (subject, object, predicate). 
This course focuses on how to build and use data warehouses for Semantic Web data. In particular, the course will focus on how to store and query large amounts of RDF triple data using specialized engines, so-called “triple stores”, how to (semi-automatically) model and design DWs for SW data, and how to use Semantic Web technologies for data integration.
Format: Readings, lectures, and exercises.
Prerequisites: A general background in computer science and general familiarity with database management, as can be achieved through an undergraduate database course, is expected. Additionally, knowledge about basic Semantic Web concepts and technologies is required.
Learning objectives:
The goal of this course is to provide knowledge about how data warehouses for Semantic Web data can be built and used. In particular, the participants will learn about storing and querying RDF data using triple stores, techniques for semi-automatic modelling and design of Semantic Web DWs, and how to use SW technologies for data integration.

Organizer: Christian Thomsen: Associate Professor,

Lecturers: Katja Hose, Assistant Professor,
Christian Thomsen: Associate Professor,
1 or more external lecturers


Time: 10-11 April, 2014

Place: Aalborg University

Zip code: 9220

City: Aalborg

Number of seats: 12

Deadline: 20 March, 2014