Semantic Scholar Academic Graph API

Semantic Scholar Academic Graph API

Accelerate scientific progress with the Semantic Scholar Academic Graph API

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Description:

Semantic Scholar is a free, AI-powered research tool for scientific literature, based at the Allen Institute for AI. It provides a reliable source of scholarly data for developers to build projects that accelerate scientific progress. The API is organized into the following services: Academic Graph, Recommendations, Datasets, and Conference Peer Review. With the Academic Graph service, developers can access data about authors, papers, citations, venues, SPECTER2 embeddings, and more. The Recommendations service provides recommended papers similar to a given paper. The Datasets service provides downloadable links of datasets in the academic graph. The Conference Peer Review service provides utilities to help conference organizers with the problem of assigning reviewers to conference submissions.

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Features

Advantages

  • Enables developers to build projects that accelerate scientific progress
  • Provides a reliable source of scholarly data
  • Easy to use and well-documented API
  • Personalized recommendations for papers
  • Utilities to help conference organizers with the problem of assigning reviewers to conference submissions

Disadvantages

  • May require authentication for certain endpoints and services
  • Rate limits may apply for unauthenticated users
  • May not be suitable for all research needs

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