Visualising and analysing public procurement data


The project is an innovation action, meaning, the majority of work is focused on implementation of developing novel approaches and technologies in the public procurement data accessibility and analysis. Website:

What is the problem the project is addressing?

Project’s aim was to make procurement in Europe more accessible. During the project we developed technologies for automatic collection and normalizing tenders and awards data, have build an European procurement Knowledge Graph containing millions of detailed contract and tender data from various countries and made that data available in standardized OCDS format and developed several tools for analysis and visualisation of collected data. We have also successful tested developed tools upon several business cases.

How is it solving the problem?

Our role was to develop an online toolkit for exploring public spending and tender data to make public procurement more efficient and transparent. We have developed online anomaly detection platform, which uses procurement data from project’s Knowledge Graph and Slovenian financial transactions data in order to automatically detect anomalies in public tenders and public financial transactions.

What is the logic of the data in the project?

Our platform is using various data sources about procurements and companies from different countries, which are automatically collected, normalized and stored in the TBFY Knowledge Graph. These data are then imported into our anomaly detection platform where they are analyzed and visualized.

Which partners are bringing which data?

Majority of data for TBFY services are obtained by our partners OpenOpps (procurement data: planning, tender and award releases) and OpenCorporates (company data).

Tangible results

TheyBuyForYou Platform ( contains link to data (TBFY Knowledge Graph and Documents repository), schemas (TBFY ontology that imports the OCDS ontology for procurement data and the euBusinessGraph ontology for the company data) tools (Harvester, R4R for RESTful services, KG data ingestion pipeline, SPARQL GUI and OptiqueVQS) and APIs (set of core APIs built or used in the project).

 Data are published under open license and available through SPARQL endpoint, API and as data dump (

 An online toolkit for anomaly detection is available at

 European’s Union Innovation Radar has identified our project as innovation and our organisation as a ‘Key Innovator’ in the development of this innovation.


International Research Centre
on Artificial Intelligence (IRCAI)
under the auspices of UNESCO 

Jožef Stefan Institute
Jamova cesta 39
SI-1000 Ljubljana


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