Science Live Platform
Transforming Research into Connected Knowledge
Science Live addresses one of the most pressing challenges in modern research: knowledge silos that prevent effective collaboration and discovery across disciplines, institutions, and research domains.
The Architecture
Our platform transforms narrative scientific results into structured, machine-actionable data using:
- Nanopublications Framework → Smallest units of scientific information that can stand alone
- Decentralized Server Network → Distributed infrastructure with no single point of failure
- Semantic Integration → Standards-based approach ensuring interoperability
- AI Processing Pipeline → 7-step transformation from questions to answers
Key Capabilities
For Researchers
- Rapid Literature Discovery → Find relevant papers across disciplines instantly
- Citation Analysis → Understand influence networks and research impact
- Concept Exploration → Discover how ideas connect across fields
- Data Integration → Link findings to underlying datasets and methods
For Institutions
- Research Analytics → Understand institutional research landscape
- Collaboration Discovery → Find potential partners based on complementary work
- Impact Assessment → Track real-world influence of research outputs
- Knowledge Management → Organize and preserve institutional knowledge
For the Scientific Community
- Open Knowledge Network → Collectively built, globally accessible research graph
- Reduced Duplication → Discover existing work before starting new projects
- Accelerated Innovation → Build on structured knowledge from any domain
- Transparent Provenance → Full traceability from claims to original sources
Technology Stack
- Python Pipeline →
science-live-pipelinepackage for programmatic access - SPARQL Queries → Industry-standard semantic web query language
- RDF/OWL → Formal knowledge representation standards
- REST APIs → Integration with existing research tools and workflows