MULTIFUSE aims to integrate international expertise across plant sciences, optical sensor technology, and data processing to harness the potential of advanced multisensory systems for proximal plant status evaluation. The fusion of this sensor data will allow a digital system for stress detection and differentiation, which will benefit from the synergies of the individual methods.
The ultimate goal of the Action is to increase and enhance the public open knowledge available in Europe and beyond. The aim is to provide a large-scale, high quality, cross-domain and multilingual knowledge graph technology that is free to use, reuse, and redistribute.
W3C, the World Wide Web Consortium was founded in October 1994 to lead the World Wide Web to its full potential by developing common protocols that promote its evolution and ensure its interoperability. W3C has more than 400 Member organizations from around the world and has earned international recognition for its contributions to the growth of the Web.
The aim of the ELKH Data Repository project is to establish the basis for a repository infrastructure service that supports the continuous, long-term management of research data for the whole ELKH research network. It will provide a solution for the secure, digital storage, usage and sharing of research data, as valuable data assets, for research and also, for example, the commercial sector.
The Research Documentation Centre (KDK) of the Centre for Social Sciences runs two archives of social science research, which preserve the primary research data for qualitative social science in Hungary. A need emerged to annotate and enrich interviews collected in these archives with assigned keywords, topics and recognised named entities (places, persons and organisations). KDK and SZTAKI launched a pilot project on using NLP and AI for automated text enrichment.
