Projects

Usually a database could be more valuable with more records/documents and fields. The both frustrating and lucky fact about this is that those data is already existing in some other silo. Why don’t ask its owners if they are open to exchange (except personal information), even xDAI for some queries. Thanks to your Grant, we would let trustless smart contracts exchange access and mapping for the defined xDAI, whose parameters’ database would be stored on Swarm. After building a dApp UI as well, we also have plans on how to grow further its benefits and user base.

“Maps on steroids” - A platform of interoperable map-based insights, where GIS data (ESA compatible) is connected to day-to-day processes, public or personal decisions or life-changing innovations. With the help of SolVec & 3DMind - multidisciplinary research data can be indexed, categorized then (on HUBiTable) connected to geography to visualize how sustainablity, commerce, research and technology is truly interconnected. With the help of 3Dmodel integrations a subproject - “The Off-grid planner” is an innovative web application that utilizes geospatial data to help individuals or organisations to implemet eco-friendly/off-grid decisions, assess their energy needs, and select appropriate renewable energy technologies. The project aims to empower individuals or organisations (based on their SonaVerse FAIR profile) to make informed decisions, support off-grid arrangements, promoting sustainable and environmentally friendly lifestyles or operations.

Extendable knowledge graphs in a 3D MindMap space. We revolutionize knowledge representation and exploration by developing an innovative 3D mindmap interface that can seamlessly augment knowledge-based artificial intelligence (KBAI). The proposed interface will enable users to visualize, share and understand dynamic knowledge graphs in an interactive 3D space. This groundbreaking platform will democratize knowledge sharing, fostering collaboration and accelerating the process of understanding complex topics, which is essential for the mission of empowering an ethical and aware majority.

We would store vectorial representations (embeds) of well-cited Open Research papers on the unstoppable, censorship-resistant, future-proof FaVe, to identify patterns in discoveries and suggest important hypotheses back to the Open Research community.