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ConceptNet is a multilingual knowledge base, representing words and phrases that people use and the common-sense relationships between them. The knowledge in ConceptNet is collected from a variety of resources, including crowd-sourced resources (such as Wiktionary and Open Mind Common Sense), games with a purpose (such as Verbosity and nadya.jp), and expert-created resources (such as WordNet and JMDict).
This is a representation of one edge of ConceptNet, along with its supporting information. See Graph structure for more information.
- Graph structure - a visual introduction to how knowledge is represented in ConceptNet.
- Edges - The basic units of knowledge in ConceptNet and what they represent.
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URI hierarchy - how we know what a label such as
/c/en/coffeemeans - Relations - Each edge has a relation. These are the kinds of relations we're using so far, and what they mean.
- Web API - A quick way to get started with ConceptNet 5, this REST API lets you query the knowledge about any node in ConceptNet, and even make some inferences about which nodes are related.
- Downloading - You can download all the information in ConceptNet 5 in tabular text or JSON formats.
- Build process - How to build the ConceptNet data files, possibly after revising the code or adding a new data source.
- Running your own copy - How to set up a local copy of the ConceptNet API using Solr and Python.
- Copying and sharing ConceptNet - ConceptNet is open data, and we want you to copy it and put it to new uses.
- Changelog, up to and including version 5.2.1
- JSON streams - a simple format for data exchange that ConceptNet uses heavily.
- Linked Data and the Semantic Web - how ConceptNet relates to more general systems of knowledge representation.
- Design decisions to consider for version 5.3
If you have a bug report or feature request for ConceptNet, please post it on our GitHub issues page.
To get help using ConceptNet, and to get announcements of upgrades and API downtime, you should join the conceptnet-users mailing list.