Machine-readable knowledge graphs that encode entities, relationships, and facts in structured formats like RDF and JSON-LD.
4sources
A multilingual common-sense knowledge graph that links words and phrases with labelled connections, such as "a cat is a pet" or "rain causes wet". It captures the everyday relationships between ideas that plain text rarely spells out.
An API into Google's Knowledge Graph, the store of billions of facts about entities that powers the info panels you see beside search results. You send a name or query and get back matching entities with descriptions, types, and links. Free to use within rate limits.
A machine learning system from Carnegie Mellon that has been reading the web since 2010 and building a knowledge base as it goes. It extracts beliefs, entities, and the relationships between them from text, and keeps refining them over time.
A lexical database of English that groups nouns, verbs, adjectives, and adverbs into sets of synonyms called synsets, then links those sets by meaning. It maps how words relate, which sense means what, what is a kind of what, so software can work with meaning rather than just spelling.