https://github.com/commonsense/conceptnet5

Code for building ConceptNet from raw data.
https://github.com/commonsense/conceptnet5

Last synced: 12 days ago
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Code for building ConceptNet from raw data.

• Host: GitHub
• URL: https://github.com/commonsense/conceptnet5
• Owner: commonsense
• License: other
• Created: 2011-09-21T16:35:15.000Z (about 13 years ago)
• Default Branch: master
• Last Pushed: 2023-01-19T13:53:07.000Z (almost 2 years ago)
• Last Synced: 2024-11-16T18:47:55.096Z (27 days ago)
• Language: Roff
• Homepage:
• Size: 42.3 MB
• Stars: 2,788
• Watchers: 174
• Forks: 356
• Open Issues: 42
• Metadata Files:
  • Readme: README.md
  • License: LICENSE.txt

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README

        
# ConceptNet

## Overview

ConceptNet aims to give computers access to common-sense knowledge, the kind of

information that ordinary people know but usually leave unstated.

ConceptNet is a semantic network that represents things that computers

should know about the world, especially for the purpose of

understanding text written by people. Its "concepts" are represented

using words and phrases of many different natural language -- unlike

similar projects, it's not limited to a single language such as

English. It expresses over 13 million links between these concepts,

and makes the whole data set available under a Creative Commons

license.

Much of the current development of ConceptNet involves using it as an

input for machine learning about the semantics of text. Its

multilingual representation makes it particularly expressive, because

the semantic overlaps and differences between languages are a useful

signal that a learning system can learn from.

ConceptNet grew out of Open Mind Common Sense, an early project for

crowd-sourced knowledge, and expanded to cover many different

languages through a collaboration with groups around the

world. ConceptNet is cited in many research papers, and its public API

gets over 50,000 hits per day.

This Python package contains a toolset for building the ConceptNet 5

knowledge graph, possibly with your own custom data, and it serves the

HTML interface and JSON Web API for it.

You don't need this package to simply access ConceptNet 5; see

http://conceptnet.io for more information and a browsable Web

interface with an API.

Further documentation is available on the [ConceptNet wiki][].

Licensing and attribution appear in `LICENSE.txt` and

`DATA-CREDITS.md`.

## Discussion groups

If you're interested in using ConceptNet, please join the

conceptnet-users Google group, for questions and occasional

announcements: http://groups.google.com/group/conceptnet-users?hl=en

For real-time discussion, ConceptNet also has a chat channel on

Gitter: https://gitter.im/commonsense/conceptnet5

## Installing and building ConceptNet

To be able to run all steps of the ConceptNet build process, you'll

need a Unix command line (Ubuntu 16.04 works great), Python 3.5 or

later, 30 GB of RAM, and some other dependencies. See the [build

process][] on our wiki for instructions.

You may not need to build ConceptNet yourself! Try the [Web API][]

first.

[build process]: https://github.com/commonsense/conceptnet5/wiki/Build-process

[Web API]: https://github.com/commonsense/conceptnet5/wiki/API

[ConceptNet wiki]: https://github.com/commonsense/conceptnet5/wiki

## Testing

Run `pytest` to test the ConceptNet libraries and a small version of

the build process.

Run `pytest --quick` to re-run the tests more quickly, with the

assumption that the small test database has already been built.

Run `pytest --fulldb` to run additional tests on the fully built

ConceptNet database.