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Semantic Scholar

Semantic Scholar is a research tool for scientific literature. It is developed at the Allen Institute for AI and was publicly released in November 2015. Semantic Scholar uses modern techniques in natural language processing to support the research process, for example by providing automatically generated summaries of scholarly papers. The Semantic…

Technology, Applications & Science

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Research this topic

Explore the main themes, entities and connections around Semantic Scholar. Start with the topic map, then use the sections below for research and deeper semantic analysis.

Explore this topic

Start with a few of the strongest sections from the source topic. These are research directions, not a list of keywords you must use.

Technology

Scientific literatureMachine visionSemantic analysisCitation analysisTables
10 related topics

Article identifier

IdentifierDoiPMIDS2CID
4 related topics

Number of users and publications

BiomedicineAmazon AlexaMicrosoft Academic GraphUniversity of Chicago Press Journals
4 related topics

Basic corpus for AI discovery tools

OpenAlexCrossRefORCID
3 related topics

Key facts & relationships

High-confidence facts extracted from structured source data. Use them as anchors for further research.

Created by
Allen Institute for Artificial Intelligence
Launched
November 2, 2015; 10 years ago (2015-11-02)
Type of site
Search engine
URL
semanticscholar.org

Topics to explore

Browse the full topic structure. Each item opens a new analysis centered on that subject.

Overview

Technology

Article identifier

Indexing

Number of users and publications

Basic corpus for AI discovery tools

Advanced semantic analysis

Deeper signals for content research, entity SEO and topical coverage. The plain-language headings explain what each technical view is useful for.

Map overview Semantic statistics

Semantic Scholar

Nodes38
Edges37
Triples40
Avg. degree1.95
Density0.052632
Components1

How this topic connects Entity context

See the strongest relationship patterns around the current topic before diving into the raw triples.

Semantic Scholar

Top relations

related to Number of users and publications · 13
Semantic Scholar → Amazon Alexa, As, At, August, Chicago Press, Chicago Press Journals, Doug Raymond, In, In March, January, Microsoft Academic Graph, PDFs, University
related to Basic corpus for AI discovery tools · 12
Semantic Scholar → AI, Ai2, Alongside, Asta, Consensus, CrossRef, DOI, Elicit, OpenAlex, ORCID, SciSpace, Undermind
related to Article identifier · 4
Semantic Scholar → Each, S2CID, Semantic Scholar Corpus ID, The
related to Technology · 4
Semantic Scholar → Artificial, It, One, The
related to Indexing · 2
Semantic Scholar → Google Scholar, One
Created by · 1
Semantic Scholar → Allen Institute for Artificial Intelligence
Launched · 1
Semantic Scholar → November 2, 2015; 10 years ago (2015-11-02)
Type of site · 1
Semantic Scholar → Search engine
URL · 1
Semantic Scholar → semanticscholar.org
is a · 1
Semantic Scholar → research tool for scientific literature

Important terminology Word statistics

Use these terms to understand the vocabulary surrounding the topic, not as a checklist for keyword stuffing.

Important terminology

semantic scholar papers science corpus million computer ai scientific research literature paper uses learning natural language processing users also publications

Entity relationships Subject–Predicate–Object triples

SubjectPredicateObjectConfidenceSrc
Semantic ScholarCreated byAllen Institute for Artificial Intelligence1.00infobox
Semantic ScholarLaunchedNovember 2, 2015; 10 years ago (2015-11-02)1.00infobox
Semantic ScholarType of siteSearch engine1.00infobox
Semantic ScholarURLsemanticscholar.org1.00infobox
Semantic Scholaris aresearch tool for scientific literature0.90text
Semantic Scholarrelated to Article identifierEach0.60section
Semantic Scholarrelated to Article identifierSemantic Scholar Corpus ID0.60section
Semantic Scholarrelated to Article identifierS2CID0.60section
Semantic Scholarrelated to Article identifierThe0.60section
Semantic Scholarrelated to Basic corpus for AI discovery toolsAI0.60section
Semantic Scholarrelated to Basic corpus for AI discovery toolsElicit0.60section
Semantic Scholarrelated to Basic corpus for AI discovery toolsSciSpace0.60section

Related concept clusters Concept neighborhoods

These clusters group vocabulary that occurs around closely connected concepts in the source material.

    Connections between topic areas Semantic bridges

    Bridges can reveal useful research angles that are easy to miss in a flat list of related terms.

    Min side: 3
    For writers, content strategists, SEOs, marketers and creators — from quick topic research to advanced semantic analysis.