What is BrainKB?
BrainKB is a platform designed to support neuroscience research by structuring and organizing scientific knowledge using knowledge graphs (KGs) for delivering evidence-based insights.
BrainKB structures neuroscience knowledge into an accessible and scalable knowledge graph.
It provides tools for searching, exploring, visualizing, and analyzing neuroscience data.
Researchers can contribute new findings, represented as assertions with supporting evidence from publications.
BrainKB aims to be the go-to resource for neuroscientists worldwide, fostering collaboration and accelerating discoveries.
Objective(s)
Organize and Structure Neuroscience Knowledge
Develop a comprehensive knowledge base using knowledge graphs (KGs) to systematically represent neuroscience research and findings.
Enable Efficient Knowledge Discovery
Provide advanced tools for searching, exploring, visualizing, and analyzing complex neuroscience data to help researchers uncover meaningful insights.
Facilitate Evidence-Based Research
Integrate scientific publications and experimental data into structured assertions with supporting evidence, ensuring the credibility and reliability of neuroscience knowledge.
Support Collaborative Contributions
Enable scientists to contribute new findings in a semi-automated fashion, fostering a continuously evolving repository of neuroscience insights.
Accelerate Neuroscience Discoveries
Serve as a central platform for neuroscientists worldwide, enhancing collaboration and knowledge sharing to drive advancements in the field.
Ensure Accessibility and Usability
Design an intuitive and scalable platform that accommodates researchers at all levels, providing seamless access to structured neuroscience knowledge.
Promote Interdisciplinary Integration
Facilitate connections between neuroscience and related domains, supporting cross-disciplinary research and innovative applications.
Expected Outcome
The BrainKB platform aims to deliver the following key outcomes:
Automated Knowledge Extraction
Extract neuroscience knowledge from structured, semi-structured, and unstructured sources, representing it through KGs.
Interactive Knowledge Graph Visualization
Enable visualization of KGs using entity cards to help researchers understand relationships between neuroscience concepts.
Advanced Analytics Capabilities
Provide a platform to perform various analytics operations over the BrainKB KGs.
High-Quality Content Validation
Implement semi-automated validation of BrainKB to ensure the reliability and integrity of its knowledge.
Real-Time & Batch Data Processing
Support both batch and streaming data ingestion to automate KG extraction and updates.