Send in your ideas. Deadline June 1, 2024
Theme fund: NGI Assure
Start: 2022-12
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Data and AI


From datasets in DCAT catalogs to knowledge graphs

Data Catalogs are an important building block for a knowledge graph. Most available open-source data cataloging solutions, however, are tailored either to the needs of dataset publishers or to bigger companies with existing data warehouses or data lakes. Open data communities or smaller-sized companies do have not many options to choose from when it comes to lightweight solutions to catalog their existing data assets or collect existing metadata about relevant datasets for their needs. K-Gen will be such a lightweight data catalog solution. It will be based on DCAT, the W3C standard for data catalogs, which has been widely adopted in the public sector for the publishing of open datasets.

In the first development phase, the milestone of a basic data catalog to collect metadata about datasets of a user and a general data processing pipeline to import existing metadata about datasets from various sources and various formats, including ways to keep them in sync with the original source should be developed. Further development should then provide tools to build a knowledge graph over the content of the datasets of the data catalog.

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This project was funded through the NGI Assure Fund, a fund established by NLnet with financial support from the European Commission's Next Generation Internet programme, under the aegis of DG Communications Networks, Content and Technology under grant agreement No 957073.