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This is a list of credits, thanks, and licenses for the data in ConceptNet 5. If you want to know about the license for the code that runs ConceptNet 5, see LICENSE.txt.

Data license

The complete data in ConceptNet is available under the Creative Commons Attribution-ShareAlike 4.0 license.

See Sharing for more information.

To give credit to ConceptNet, we suggest this text:

This work includes data from ConceptNet 5, which was compiled by the
Commonsense Computing Initiative. ConceptNet 5 is freely available under
the Creative Commons Attribution-ShareAlike license (CC-By-SA 4.0) from
http://conceptnet.io.

The included data was created by contributors to Commonsense Computing
projects, contributors to Wikimedia projects, Games with a Purpose,
Princeton University's WordNet, DBPedia, Unicode, Jim Breen, MDBG, and
Cycorp's OpenCyc.

Credits and acknowledgements

ConceptNet has been developed by:

  • The MIT Media Lab, through various groups at different times:

    • Commonsense Computing
    • Software Agents
    • Digital Intuition

  • The Commonsense Computing Initiative, a worldwide collaboration with contributions from:

    • National Taiwan University
    • Universidade Federal de São Carlos
    • Hokkaido University
    • Tilburg University
    • Nihon Unisys Labs
    • Dentsu Inc.
    • Kyoto University
    • Yahoo Japan Corporation

  • Luminoso Technologies, Inc.

Significant amounts of data were imported from:

  • WordNet, a project of Princeton University
  • Wikipedia and Wiktionary, collaborative projects of the Wikimedia Foundation
  • Luis von Ahn's "Games with a Purpose"
  • DBPedia
  • OpenCyc
  • CC-CEDict, by MDBG
  • JMDict, by Jim Breen
  • Unicode CLDR

Here is a short, incomplete list of people who have made significant contributions to the development of ConceptNet as a data resource, roughly in order of appearance:

  • Push Singh
  • Catherine Havasi
  • Hugo Liu
  • Hyemin Chung
  • Robyn Speer
  • Ken Arnold
  • Yen-Ling Kuo
  • Naoki Otani

Licenses for included resources

Wikimedia projects

ConceptNet uses data directly from Wiktionary, the free dictionary. It also uses data from Wikipedia, the free encyclopedia via DBPedia.

Wiktionary and Wikipedia are collaborative projects, authored by their respective online communities. They are currently released under the Creative Commons Attribution-ShareAlike license.

Wikimedia encourages giving attribution by providing links to the hosted pages that the data came from, and DBPedia asks for the same thing in turn. The ConceptNet relation /r/ExternalURL provides links between terms in ConceptNet and the external pages or RDF resources that they incorporate information from.

WordNet

WordNet is available under an unencumbered license: see http://wordnet.princeton.edu/wordnet/license/. Its text is reproduced below:

WordNet Release 3.0

This software and database is being provided to you, the LICENSEE, by Princeton University under the following license. By obtaining, using and/or copying this software and database, you agree that you have read, understood, and will comply with these terms and conditions.:

Permission to use, copy, modify and distribute this software and database and its documentation for any purpose and without fee or royalty is hereby granted, provided that you agree to comply with the following copyright notice and statements, including the disclaimer, and that the same appear on ALL copies of the software, database and documentation, including modifications that you make for internal use or for distribution.

WordNet 3.0 Copyright 2006 by Princeton University. All rights reserved.

THIS SOFTWARE AND DATABASE IS PROVIDED "AS IS" AND PRINCETON UNIVERSITY MAKES NO REPRESENTATIONS OR WARRANTIES, EXPRESS OR IMPLIED. BY WAY OF EXAMPLE, BUT NOT LIMITATION, PRINCETON UNIVERSITY MAKES NO REPRESENTATIONS OR WARRANTIES OF MERCHANT- ABILITY OR FITNESS FOR ANY PARTICULAR PURPOSE OR THAT THE USE OF THE LICENSED SOFTWARE, DATABASE OR DOCUMENTATION WILL NOT INFRINGE ANY THIRD PARTY PATENTS, COPYRIGHTS, TRADEMARKS OR OTHER RIGHTS.

The name of Princeton University or Princeton may not be used in advertising or publicity pertaining to distribution of the software and/or database. Title to copyright in this software, database and any associated documentation shall at all times remain with Princeton University and LICENSEE agrees to preserve same.

Commonsense Computing

The Commonsense Computing project originated at the MIT Media Lab and expanded worldwide. Tens of thousands of contributors have taken some time to teach facts to computers. Their pseudonyms can be found in the "sources" list found attached to each statement, in ConceptNet's raw data and in its API.

Games with a Purpose

Data collected from anonymous players of Verbosity, one of the CMU "Games with a Purpose", is used and released under ConceptNet's license, by permission from Luis von Ahn and Harshit Surana.

Multilingual dictionaries

We import data from CEDict and JMDict, both of which are available under the Creative Commons Attribution-ShareAlike license.

OpenCyc

The OWL data we use from OpenCyc is made available by Cycorp under a Creative Commons Attribution 3.0 license.

Unicode CLDR

We use information from the Unicode Common Language Data Runtime, particularly to align words in a variety of languages via the descriptions of emoji. The [Unicode License Agreement][unicode-license] for data files is a permissive license very similar to the MIT license.

Distributional word embeddings

ConceptNet takes input from these sources of distributional word embeddings:

GloVe

Jeffrey Pennington, Richard Socher, and Christopher D. Manning. 2014. GloVe: Global Vectors for Word Representation. https://nlp.stanford.edu/projects/glove/

word2vec

Tomas Mikolov, Kai Chen, Greg Corrado, and Jeffrey Dean. 2013. Efficient Estimation of Word Representations in Vector Space. In Computing Research Repository. http://dblp.org/rec/bib/journals/corr/abs-1301-3781

fastText

Piotr Bojanowski, Edouard Grave, Armand Joulin, and Tomas Mikolov. 2016. Enriching Word Vectors with Subword Information. http://fasttext.cc