Finding Research Hypothesis in Natural Sciences (KC30 – KAIST Grand Challenge)

Scientific data in natural science is expanding much faster than scientific research areas can analyze. Search technologies can find many scientific documents and knowledge models, but they cannot organize the extracted documents and knowledge models within them to suggest research hypotheses to the researcher. The project aims to build a hypothesis generator based on existing search methodologies, databases representing known scientific structures, and published research documentation.