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Home/Tasks/ConceptNet
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ConceptNet

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Quick Tool Decision

Should you use ConceptNet?

An open, multilingual knowledge graph designed to help computers understand the meanings of words.

Category

Data & ML

Data confidence: release and verification fields are source-audited when available; other summary fields are community-aggregated.

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Overview

ConceptNet is a freely available semantic network (knowledge graph) originating from the Open Mind Common Sense project at MIT. It's designed to enable computers to understand the meanings of words people use, encompassing knowledge from crowdsourced resources, expert systems, and games. Built upon a foundation of linked data principles, ConceptNet utilizes a JSON-LD API for accessibility. Its core architecture involves nodes representing concepts and edges indicating relationships between them. ConceptNet is multilingual, drawing data from sources like Wiktionary, DBPedia, and OpenCyc to provide broad coverage. It supports applications in natural language understanding, artificial intelligence, and lexicography, facilitating tasks like word embeddings generation, analogy solving, and commonsense reasoning.

Common tasks

Commonsense ReasoningSemantic UnderstandingKnowledge RepresentationWord Embeddings GenerationLinked Data IntegrationSemantic Network AnalysisRelationship ExtractionConcept Mapping

FAQ

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Pricing

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