ConceptNet is a freely available multilingual knowledge graph that gives computers access to common-sense knowledge. It represents over 13 million links between concepts across 100+ languages, drawing from crowd-sourced resources (Open Mind Common Sense, Wiktionary), expert-created resources (WordNet, JMDict), and games with a purpose (Verbosity, nadya.jp). The public REST API provides JSON-LD responses and receives over 50,000 daily hits. ConceptNet also powers Numberbatch, a set of multilingual word embeddings aligned across languages that outperform word2vec, GloVe, and fastText on standard benchmarks.
ConceptNet publishes 7 APIs on the APIs.io network, including Concepts API, Edges API, Query API, and 4 more. Tagged areas include Knowledge Graph, NLP, Semantic Web, Common Sense, and Multilingual.
The ConceptNet catalog on APIs.io includes 1 Spectral governance ruleset.
ConceptNet’s developer surface includes documentation, getting-started guide, FAQ, support, and 10 more developer resources.
The ConceptNet REST API exposes the full ConceptNet 5 knowledge graph via JSON-LD endpoints. Consumers can look up concept nodes by language and term, query edges by relation ty...
aid: conceptnet
name: ConceptNet
description: ConceptNet is a freely available multilingual knowledge graph that gives computers access to common-sense knowledge.
It represents over 13 million links between concepts across 100+ languages, drawing from crowd-sourced resources (Open Mind
Common Sense, Wiktionary), expert-created resources (WordNet, JMDict), and games with a purpose (Verbosity, nadya.jp). The
public REST API provides JSON-LD responses and receives over 50,000 daily hits. ConceptNet also powers Numberbatch, a set
of multilingual word embeddings aligned across languages that outperform word2vec, GloVe, and fastText on standard benchmarks.
url: https://conceptnet.io
accessModel:
pricing: free
onboarding: unknown
trial: false
try_now: false
public: false
label: Free
confidence: medium
source:
- plans
generated: '2026-07-22'
method: derived
image: https://conceptnet.io/img/conceptnet-logo.png
specificationVersion: '0.19'
created: '2026-06-13'
modified: '2026-06-13'
x-source: manual
x-category: Knowledge Graphs
tags:
- Knowledge Graph
- NLP
- Semantic Web
- Common Sense
- Multilingual
- Word Embeddings
- Linked Data
- Open Data
apis:
- name: ConceptNet REST API
description: The ConceptNet REST API exposes the full ConceptNet 5 knowledge graph via JSON-LD endpoints. Consumers can
look up concept nodes by language and term, query edges by relation type, retrieve semantically related terms ranked by
Numberbatch embedding similarity, compute pairwise relatedness scores between concepts, and normalize natural-language
text into canonical ConceptNet URIs. No authentication or API key is required. Rate limits of 3,600 requests/hour and
120 requests/minute apply. The /related and /relatedness endpoints each count as 2 requests against the quota.
humanURL: https://github.com/commonsense/conceptnet5/wiki/API
baseURL: https://api.conceptnet.io
tags:
- Knowledge Graph
- NLP
- Semantic Relations
- Multilingual
- Common Sense
properties:
- type: Documentation
url: https://github.com/commonsense/conceptnet5/wiki/API
- type: GettingStarted
url: https://github.com/commonsense/conceptnet5/wiki
- type: Downloads
url: https://github.com/commonsense/conceptnet5/wiki/Downloads
- aid: conceptnet:conceptnet-concepts-api
name: ConceptNet Concepts API
description: Look up concept nodes in the knowledge graph
humanURL: https://github.com/commonsense/conceptnet5/wiki/API
baseURL: https://api.conceptnet.io
tags:
- Concepts
properties:
- type: OpenAPI
url: openapi/conceptnet-concepts-api-openapi.yml
- aid: conceptnet:conceptnet-edges-api
name: ConceptNet Edges API
description: Access individual edge (assertion) records
humanURL: https://github.com/commonsense/conceptnet5/wiki/API
baseURL: https://api.conceptnet.io
tags:
- Edges
properties:
- type: OpenAPI
url: openapi/conceptnet-edges-api-openapi.yml
- aid: conceptnet:conceptnet-query-api
name: ConceptNet Query API
description: Complex multi-parameter edge queries
humanURL: https://github.com/commonsense/conceptnet5/wiki/API
baseURL: https://api.conceptnet.io
tags:
- Query
properties:
- type: OpenAPI
url: openapi/conceptnet-query-api-openapi.yml
- aid: conceptnet:conceptnet-relations-api
name: ConceptNet Relations API
description: Browse edges grouped by relation type
humanURL: https://github.com/commonsense/conceptnet5/wiki/API
baseURL: https://api.conceptnet.io
tags:
- Relations
properties:
- type: OpenAPI
url: openapi/conceptnet-relations-api-openapi.yml
- aid: conceptnet:conceptnet-similarity-api
name: ConceptNet Similarity API
description: Semantic similarity and relatedness using Numberbatch embeddings
humanURL: https://github.com/commonsense/conceptnet5/wiki/API
baseURL: https://api.conceptnet.io
tags:
- Similarity
properties:
- type: OpenAPI
url: openapi/conceptnet-similarity-api-openapi.yml
- aid: conceptnet:conceptnet-sources-api
name: ConceptNet Sources API
description: Access provenance and source information
humanURL: https://github.com/commonsense/conceptnet5/wiki/API
baseURL: https://api.conceptnet.io
tags:
- Sources
properties:
- type: OpenAPI
url: openapi/conceptnet-sources-api-openapi.yml
- aid: conceptnet:conceptnet-utilities-api
name: ConceptNet Utilities API
description: URI normalization and text standardization
humanURL: https://github.com/commonsense/conceptnet5/wiki/API
baseURL: https://api.conceptnet.io
tags:
- Utilities
properties:
- type: OpenAPI
url: openapi/conceptnet-utilities-api-openapi.yml
common:
- type: AgenticAccess
url: agentic-access/conceptnet-agentic-access.yml
- type: DomainSecurity
url: security/conceptnet-domain-security.yml
- type: Website
url: https://conceptnet.io
- type: Documentation
url: https://github.com/commonsense/conceptnet5/wiki/API
- type: GettingStarted
url: https://github.com/commonsense/conceptnet5/wiki
- type: GitHubOrganization
url: https://github.com/commonsense
- type: GitHubRepository
url: https://github.com/commonsense/conceptnet5
- type: License
url: https://creativecommons.org/licenses/by-sa/4.0/
- type: Downloads
url: https://github.com/commonsense/conceptnet5/wiki/Downloads
- type: FAQ
url: https://github.com/commonsense/conceptnet5/wiki/FAQ
- type: Support
url: https://groups.google.com/g/conceptnet-users
- type: Plans
url: plans/conceptnet-plans-pricing.yml
- type: RateLimits
url: rate-limits/conceptnet-rate-limits.yml
- type: FinOps
url: finops/conceptnet-finops.yml
features:
- name: Multilingual Knowledge Graph
description: Covers concepts in 100+ languages with cross-language semantic links. Each concept node is identified by a
URI such as /c/en/dog or /c/fr/chien, enabling cross-lingual knowledge transfer and multilingual NLP pipelines.
- name: Semantic Relations
description: Edges encode typed relations including IsA, UsedFor, CapableOf, AtLocation, Causes, HasProperty, PartOf, SimilarTo,
Antonym, RelatedTo, and many more. Each edge carries a weight representing confidence from the source data.
- name: JSON-LD Linked Data API
description: All API responses use the JSON-LD format with @context, @id, and @type annotations, enabling seamless integration
with RDF toolchains and semantic web applications.
- name: Related Terms (Numberbatch Embeddings)
description: The /related endpoint returns ranked semantically related concepts using ConceptNet Numberbatch word vectors
— cross-lingual embeddings designed to avoid harmful stereotypes and outperform word2vec, GloVe, and fastText on analogy
and similarity benchmarks.
- name: Pairwise Relatedness Score
description: The /relatedness endpoint returns a similarity score between 0 and 1 for any two concept URIs, enabling quick
semantic similarity checks without building a local embedding model.
- name: Complex Edge Queries
description: The /query endpoint accepts combinations of start, end, rel, node, other, and sources parameters to slice the
knowledge graph by subject, object, relation type, or data source simultaneously.
- name: URI Normalization
description: The /uri endpoint converts raw natural-language text in any supported language into a canonical ConceptNet
URI, handling tokenization, lowercasing, and language-specific normalization automatically.
- name: No Authentication Required
description: The public API requires no registration, API key, or OAuth token. Any HTTP client can query api.conceptnet.io
directly.
useCases:
- name: Semantic Similarity in NLP Pipelines
description: Use /relatedness or /related to score or rank term similarity in question answering, text classification, and
entity disambiguation tasks without training a custom embedding model.
- name: Knowledge-Graph-Augmented AI
description: Enrich LLM prompts or retrieval pipelines with structured commonsense facts by querying /c/{language}/{term}
for edges describing causes, properties, and typical locations of a concept.
- name: Cross-Language Information Retrieval
description: Leverage ConceptNet's multilingual graph to expand a query in one language to synonymous concepts in another,
supporting multilingual search and cross-lingual document clustering.
- name: Educational Vocabulary Tools
description: Build vocabulary-learning apps that surface semantic neighbors, antonyms, and example sentences for any word
in dozens of languages using the IsA, SimilarTo, and Antonym relation edges.
- name: Commonsense Reasoning Datasets
description: Use ConceptNet as a gold-standard knowledge source for generating or evaluating commonsense reasoning benchmarks
and training data for language models.
- name: Chatbot Knowledge Enrichment
description: Query ConceptNet for UsedFor, CapableOf, and AtLocation edges to give chatbots and virtual assistants grounded
commonsense knowledge about everyday objects and actions.
integrations:
- name: Python (conceptnet5)
description: The open-source Python codebase includes a local AssertionFinder API for querying a self-hosted ConceptNet
database without HTTP overhead.
url: https://github.com/commonsense/conceptnet5
- name: ConceptNet Numberbatch
description: Pre-trained multilingual word embedding vectors (h5 and text formats) that can be loaded directly into NumPy,
PyTorch, or TensorFlow for offline semantic similarity computation.
url: https://github.com/commonsense/conceptnet-numberbatch
- name: Linked Data / RDF
description: JSON-LD responses integrate directly with JSON-LD processors, RDF triple stores (Apache Jena, Virtuoso), and
SPARQL query engines.
solutions:
- name: Zero-Cost Semantic Enrichment
description: Query /related for any concept in an NLP pipeline at zero cost and without authentication, adding knowledge-graph
context to otherwise purely statistical models.
- name: Self-Hosted High-Volume Deployment
description: For applications exceeding 3,600 requests/hour, download the full ConceptNet data dump and run a local PostgreSQL-backed
instance using the open-source codebase, eliminating rate limits entirely.
maintainers:
- FN: Kin Lane
email: kin@apievangelist.com
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