ConceptNet

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.

ConceptNet is an open source project, with a Python implementation and a REST API that anyone can use to add computational common sense to their own project.

Some of the nodes and links in ConceptNet.

Places to go next

• Get code for working with ConceptNet
• Explore and contribute to ConceptNet
• Our open source licenses

ConceptNet Development Team

Current developers

• Kenneth Arnold, MIT Media Lab Software Agents Group
• Jason Alonso, MIT Media Lab Software Agents Group
• Catherine Havasi, Brandeis University Lab for Linguistics and Computation
• Robert Speer, MIT

Project alumni

• Hugo Liu
• Push Singh
• Ian Eslick

Papers

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.