Descriptive and empirical sciences, such as History, Archaeology, Biodiversity, and Cultural Heritage, are the sciences that collect, observe and describe phenomena in order to explain them and draw interpretative conclusions about their behaviour and their relationships under given circumstances. Researchers in these sciences usually encounter problems related to the integration of data coming from different sources, the epistemological adaptation and refinement of their research under specific circumstances, the usability of their data analysis methods and tools, and the transparency and reliability of their research processes and results. The ReKnow project aims to support researchers in better handling these problems by providing models, algorithms and tools that allow for better documentation, analysis and exploration of research processes and data.
In particular, the project has the following objectives:
•    Design and development of semantic data models and processes, based on international standards like CIDOC-CRM (ISO 21127:2014), for documenting, formally representing and interconnecting research data and processes
•    Development of algorithms and methods for supporting argumentation processes and the discovery or revision of research knowledge 
•    Design and development of user-friendly and interactive tools for supporting advanced exploration and quantitative analysis of research data by domain experts.