Semantic Scholar Academic Graph (S2AG) Downloadable Datasets
Bulk access to Semantic Scholar's comprehensive scientific literature graph datasets.
Executive Summary
The Semantic Scholar Academic Graph (S2AG) Downloadable Datasets provide researchers, developers, and institutions with monthly updated, bulk access to Semantic Scholar's extensive scientific literature graph. These datasets are derived from Semantic Scholar, an AI-powered research tool developed by Ai2, offering a comprehensive view of scientific papers, authors, citations, and related metadata. The S2AG datasets enable large-scale computational analysis of scientific trends, bibliometrics, and the structure of academic knowledge. Users can leverage this rich data to build custom applications, conduct in-depth research studies, or integrate scientific literature insights into their own platforms, facilitating advanced research and development across various domains.
Use Cases
- Conduct large-scale bibliometric analysis and trend identification in scientific literature.
- Develop custom research tools and applications leveraging comprehensive academic data.
- Integrate scientific knowledge graphs into institutional repositories or research platforms.
- Perform studies on citation networks, author collaborations, and research impact.
- Support AI/ML model training for natural language processing on scientific texts.
Features
Intelligence
- Graph Data Structure: Organized data representing papers, authors, citations, and semantic relationships.
- Monthly Updates: Regular updates ensure access to the latest scientific literature and graph enhancements.
- Bulk Access: Designed for large-scale data processing and analysis.
Support
- API Status Page: Provides live and historical data on system performance and service interruptions for the API.
Technical Specifications
- Architecture
- Cloud-based infrastructure for data processing and graph generation, with datasets distributed for bulk download.
- Deployment
- Data Service (downloadable datasets)
- API Available
- Yes
Pricing
- Model
- Free for non-commercial use; commercial licensing available.
- Starting Price
- Free (for non-commercial use)
- Target Customer
- Academic Researchers,Data Scientists,Developers,Research Institutions
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.