Lund University

Semantic Baltic

The project Semantic Baltic is a pilot project to gain knowledge about big data in the Baltic Sea region and create possibilities for further projects in the issue. The expectation on the long term is to increase the use of big data to improve the service provided to citizens.

The world is getting more and more digitalised and both private and public sector gathers information about individuals constantly. Cookies when visiting a website, contacts with municipalities and grocery shopping is all examples of activity that gives information about a person. This information is called big data and big data can give knowledge – if one only know how to use it. Knowledge about the citizens habits can for example improve public sector’s possibilities to deliver service.

Big data simply means a huge pile of information and the challenge with big data is how to get information out of it. It is so much data that it is difficult to find the right parameters, combine and analyse them in order to be more informed about customers, users and citizens. Thus, new methods need to be developed to translate the data into understandable information, through analysis, visualization etc. so that the full potential of big data can be revealed.

This is the basis for the project Semantic Baltic. It is an attempt to increase the knowledge about Big Data in the Baltic Sea Region. It is a pre-project to collect enough knowledge to apply for bigger projects in the field. The aim on the long term is to increase the use of big data to improve the service provided to citizens.

The activities in the project are divided into three work packages:

  1. Mapping of concluded big data projects in the countries involved. Results from the finalized projects could be a basis to build on.
  2. Mapping of technology, tools etc. that are being used in big data.
  3. Development of user cases – a framework for the use of big data including specifications for technology, design and how to use big data. Researchers, engineers and companies are involved in this part.

Lund University through LU Open is a partner in the project, and are mostly involved in the creation of user cases and project applications.