Semantic Scholar Academic Graph (S2AG) API
Programmatic access to Semantic Scholar's AI-powered academic knowledge graph.
Executive Summary
The Semantic Scholar Academic Graph (S2AG) API provides programmatic access to Semantic Scholar's comprehensive knowledge graph of scientific literature. This graph is built by Semantic Scholar, an AI-powered research tool from the Allen Institute for AI (AI2), which extracts, disambiguates, and links entities within scientific papers. The API enables developers and researchers to query and retrieve detailed information about scientific papers, authors, citations, and other academic entities. It supports various use cases, from building custom research discovery platforms and integrating scientific literature data into AI/ML models to performing large-scale bibliometric analysis and understanding research trends.
Use Cases
- Building custom research discovery and recommendation systems.
- Performing large-scale bibliometric analysis and identifying research trends.
- Enriching existing academic databases with Semantic Scholar's data.
- Developing tools for author disambiguation and collaboration analysis.
- Integrating scientific literature data into AI/ML models for various applications.
Features
Intelligence
- Semantic Entity Linking: Connects papers, authors, and other entities through AI-driven semantic analysis.
- Citation Graph Traversal: Explore citation networks to understand influence and relationships between research.
- Author Disambiguation: Leverages AI to distinguish between authors with similar names, ensuring accurate attribution.
Support
- API Status Page: Monitor real-time system performance and historical data for API availability and metrics.
Technical Specifications
- Deployment
- SaaS
- API Available
- Yes
Pricing
- Model
- Tiered (Free for academic/non-commercial, commercial tiers)
- Starting Price
- Free for academic/non-commercial use
- Target Customer
- SMB,Mid-Market,Enterprise
- Free Trial
- Yes
About Semantic Scholar
Semantic Scholar is a free, AI-powered research tool developed by the Allen Institute for AI (AI2), a non-profit research institute. It helps scholars find and understand scientific literature quickly using machine reading and semantic search, extracting key information and providing relevance-ranked results and paper summaries to accelerate research across over 200 million academic papers.
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