Project Description

BrainKB serves as a knowledge base platform that provides scientists worldwide with tools for searching, exploring, and visualizing Neuroscience knowledge represented by knowledge graphs (KGs). Moreover, BrainKB provides cutting-edge tools that enable scientists to contribute new information (or knowledge) to the platform and is expected to be a go-to destination for all neuroscience-related research needs.

The main objective of BrainKB is to represent neuroscience knowledge as a knowledge graph such that it can be used for different downstream tasks, such as making predictions and new inferences in addition to querying and viewing information. The expected outcome of the BrainKB includes the following:

• (Semi-)Automated extraction of neuroscience knowledge from structured, semi-structured, and unstructured sources, and representing the knowledge via KGs.
• Visualization of the KGs.
• Platform to perform different analytics operations over the BrainKB KGs.
• (Semi-)Automated validation of the BrainKGs to ensure the high quality of the content.
• Provides the ability to ingest data in batch or streaming mode for the automated extraction of KGs.

Significance:

BrainKB will play a pivotal role in advancing neuroscience by offering a robust, scalable platform for structuring and accessing brain-related knowledge represented by KGs. By enabling automated extraction, validation, and visualization of data from diverse sources, it enhances the precision and efficiency of scientific discovery. BrainKB supports predictive analysis and knowledge inference, making it valuable for research on a range of neurological and psychiatric conditions, including Alzheimer's disease, Parkinson's disease, epilepsy, schizophrenia, autism spectrum disorders, and depression. Its integrative capabilities foster collaborative research and position BrainKB as a foundational resource for the neuroscience community and a catalyst for innovation in brain science.