Distributed Knowledge Graphs – (DKG)


06.11.2023. - 11:54
Knowledge Graphs are flexible way to represent information about virtual anything. People from a variety of application domains including biomedical research, public and open data, linguistics, journalism, and manufacturing publish, use, and investigate knowledge graphs. As the publication is done in a decentralized fashion across the web, the knowledge graphs form a distributed system. Due to the ever-increasing uptake of Knowledge Graphs technologies in recent years, there are new challenges for research and development including dealing with the scale and the degree of distribution of knowledge graphs, while monitoring and maintaining data quality and privacy. Tackling these research challenges will need a stronger collaboration within the research community and a joint effort to establish a more functional, decentralized Web of Data. The main aim of the action is therefore to create a research community for deployable Distributed Knowledge Graph technologies that are standards-based, and open, embrace the FAIR principles, allow for access control and privacy protection, and enable the decentralized publishing of high quality data. To this end, the Action connects European researchers and practitioners from 1) diverse application domains and 2) the whole life cycle of Distributed Knowledge Graphs, from provisioning to finding, access, integrating, programming, deploying, enriching and analytics. The Action will develop practices for scalable, privacy-respecting, high quality and decentralized Knowledge Graph publication and consumption, reach out to the European industry, and formulate a research agenda.

Contact person: Prof. dr Stevan Gostojić
Period of realization: 2020 – 2024
ID: CA COST Action CA19134