What is Semantic Scholar?

Semantic Scholar is a complimentary research tool powered by artificial intelligence, designed to facilitate access to scientific literature. Developed by the Allen Institute for Artificial Intelligence (AI2), its primary aim is to enhance the accessibility and contextual understanding of scientific research.

What Makes Semantic Scholar Unique?

Semantic Scholar employs advanced natural language processing algorithms to extract essential information from scientific papers. This includes:

• Identifying key entities such as authors, journals, and conferences.
• Extracting abstracts, figures, and citations from papers.
• Categorizing papers by research area.
• Linking papers through citations to illustrate research connections.

By organizing papers in this manner, Semantic Scholar offers robust search, discovery, and recommendation capabilities for research papers.

Key Features

• Search: Advanced search functionality across a database of over 175 million papers, allowing searches by keyword, author, conference, and more.
• Paper Summaries: Concise summaries of abstracts, key figures, and citations for quick reference.
• Related Papers: Discover papers closely related to any selected paper and explore connections between different research areas.
• Author Profiles: Access to an author’s publication history, metrics, co-authors, and affiliated institutions.
• My Library: Save papers to a personal library and add annotations.
• Metrics and Rankings: Paper-level metrics such as citations and influence scores, along with author-level metrics like h-index.
• APIs: APIs available for search, academic graphs, and more, ideal for developing research applications.
• Semantic Reader: An enhanced PDF reader that improves accessibility through definitions, citations, and more.

Pros & Cons Table

Who is Using Semantic Scholar?

Semantic Scholar is beneficial for:

• Researchers: To discover new papers and trends in their fields while tracking metrics and profiles.
• Students: To identify the most influential papers in their research areas.
• Publishers: To obtain analytics on published papers and journals.
• Librarians: To enhance institutional repositories and library collections.
• Developers: To create research applications using Semantic Scholar’s academic graph and APIs.

Support Options

• FAQ section addressing common user and technical inquiries.
• Video tutorials demonstrating how to utilize Semantic Scholar features.
• Contact form and email available for additional support.

Pricing

The primary Semantic Scholar search engine is free for all users. Special features are available for librarians to enhance institutional repositories.

Please note that pricing information may not be up to date. For the most accurate and current pricing details, refer to the official Semantic Scholar website.

Integrations and API

Semantic Scholar offers APIs for search, academic graphs, and other functionalities, making it a valuable resource for developers looking to build research applications.

FAQ

For common questions and answers regarding the use of Semantic Scholar, please refer to the FAQ section on their website.

Useful Links and Resources

Explore additional resources and links related to Semantic Scholar for further information and support.