Place : India, Keelakarai
Description:Knowledge graphs are an innovative paradigm for encoding, accessing, combining, and interpreting data from heterogeneous and multimodal sources beyond simply a combination of technology. In a shorter time, knowledge graphs have been identified as an important component of modern search engines, intelligent assistants, and corporate intelligence. Geospatial data science, cognitive neuroscience, and machine learning emerge together in geospatial knowledge graphs symbolic of spatiality, attributes, and interactions. These knowledge graphs can be used for many geospatial applications, including geographic information retrieval, geospatial interoperability, and geographic information systems knowledge discovery. Nevertheless, Geospatial Knowledge Graphs rarely reach their maximum potential in geospatial and downstream applications since most conventional data warehouses and system elements in KGs need to account for the specialty of geographical information.
Deadline for abstracts/proposals : 10th August 2023
Organized By :2023 – Special Issue on : “Shaping up the Innovations in Graph Theory to measure linearity of data”
Keynote Speakers :
Check the event website for more details.