A Semantic Network Representation of the Open Mind Common Sense Project
A project of the Common Sense Computing Initiative, built from data entered by ordinary people using Open Mind Common Sense.
| What is ConceptNet? | Getting ConceptNet | Documentation | Papers | Development Team |
ConceptNet aims to give computers access to common-sense knowledge, the kind of information that ordinary people know but usually leave unstated.
The data in ConceptNet is being collected from ordinary people who contributed it over the Web. ConceptNet represents this data in the form of a semantic network, and makes it available to be used in natural language processing and intelligent user interfaces.
See also: Open Mind Common Sense, AnalogySpace, Divisi, and 2-wit.
If you're interested in ConceptNet, please join the conceptnet-users Google group, where you can share ideas and get help. We'd also love to know what you're doing with ConceptNet -- we're curious like that. Feel free to send us an email at conceptnet at media dot mit dot edu.
You can access the ConceptNet data in several different ways, depending on your needs:
easy_install conceptnet or bzr branch lp:conceptnet. See the documentation for details.We have a Launchpad project where you can find out more about us, ask us questions, download our software, or collaborate with us. The latest release is available from the Python Package Index. (It depends on the CSC Utilities library.)
The ConceptNet documentation (part of the Open Mind project documentation) includes an overview and instructions on installation.
We have a launchpad project where you can find out more about us, ask us questions, download our software, or collaborate with us.
If you need help, just post to the conceptnet-users Google group. We'd also love to know what you're doing with ConceptNet - we're curious like that. Feel free to send us an email at conceptnet at media dot mit dot edu.
Papers about ConceptNet itself:
Havasi, C., Speer, R. & Alonso, J. (2007) ConceptNet 3: a Flexible, Multilingual Semantic Network for Common Sense Knowledge. Proceedings of Recent Advances in Natural Languges Processing 2007. (paper)
Liu, H. & Singh, P. (2004) ConceptNet: A Practical Commonsense Reasoning Toolkit. BT Technology Journal, Volume 22. Kluwer Academic Publishers. (paper)
Liu, H. & Singh, P. (2004). Commonsense Reasoning in and over Natural Language Proceedings of the 8th International Conference on Knowledge-Based Intelligent Information & Engineering Systems (KES'2004). Wellington, New Zealand. September 22-24. Lecture Notes in Artificial Intelligence, Springer 2004 (paper)
We also use ConceptNet for a lot of other work; see the CSC papers list for a full list.
Current Developers:
Project Alumni:
ConceptNet 3 is open-source. You may redistribute it and use it in your own projects under either of the following license terms:
You may redistribute both the code and the data in ConceptNet 3 under the GNU General Public License, version 2 or later.
Additionally, you may redistribute the ConceptNet 3 database
under the
Creative Commons Attribution 3.0 License.
If you have any questions, feel free to contact the development team at: conceptnet at media dot mit dot edu
Last updated: June 18, 2009 by Kenneth Arnold (or perhaps more recently; we don't always remember to update the date.)