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Knowledge graphs for societal benefit

Reference number
Coordinator RISE Research Institutes of Sweden AB - RISE SICS AB, Kista
Funding from Vinnova SEK 163 170
Project duration November 2018 - December 2019
Status Completed
Venture Personal mobility between societal sectors
Call Funding for staff exchange and artificial intelligence (AI)

Purpose and goal

A knowledge graph is a structured knowledge representation that constitutes a basic component for building more advanced AI functionality that includes reasoning and planning. The project "Knowledge Graphs for Societal Benefits" has investigated both the data readiness and the technical possibilities to build knowledge graphs within Tillväxtverket, and has exemplified functionality with the help of data from Tillväxtverkets external web.

Expected results and effects

The project has strengthened the collaboration not only between RISE and Tillväxtverket, but also led to new collaboration between RISE and several other authorities. A concrete results from the project is the recently awarded Vinnova project "Language models for Swedish authorities", which will significantly strengthen the Swedish authorities´ ability in AI and language technology. The project has also contributed to the knowledge transfer from RISE to Tillväxtverket through regular seminars where various aspects of knowledge graphs were presented and discussed.

Planned approach and implementation

The project consisted of two work packages. The first involved an inventory of available data at Tillväxtverket to build structured information networks, and clearly demonstrated the low data readiness level at Swedish authorities. The second work package explored a number of different technical possibilities for building knowledge graphs from the web data, and applied the resulting knowledge graphs in a few different demonstration applications.

The project description has been provided by the project members themselves and the text has not been looked at by our editors.

Last updated 6 February 2020

Reference number 2018-04350

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