We think that there is a largely untapped source of general knowledge in texts, lying at a level beneath the explicit assertional content. This knowledge consists of relationships implied to be possible in the world, or, under certain conditions, implied to be normal or commonplace in the world. For instance, the sentence ‘He entered the house through its open door’ suggests that it is possible for a person (or at least a male) to enter a house, that houses have doors, that doors can be open, etc. The goal of the present work is to derive such general world knowledge… Read more.

Browser

Over 16 million of the factoids discovered by Knext can be searched online with the Knext browser.

Downloads

Download the basic Knext system.

Download data – releases of knowledge bases, including some rated factoids.

Publications

The original paper describing Knext is:

Some of the publications on Knext and related knowledge extraction work are:

2012

2011

2010

2009

2008

2003

2002

2001

For more, see the list of publications on Epilog, the Episodic Logic reasoning engine, and those on Lenhart Schubert’s website.

Acknowledgement

This work is currently supported by

  • NSF IIS-0916599: General Knowledge Bootstrapping from Text
  • NSF IIS-1016735: Adapting a Natural Logic Reasoning Platform to the Task of Entailment Inference
  • Subcontract FY10-01-0297 under ONR STTR N00014-10-M-0297.

It has previously been supported under grants

  • NSF IIS-0082928: Mining Text for General World Knowledge, 2000–2003
  • NSF IIS-0328849: Deriving General World Knowledge from Texts by Abstraction of Logical Forms, 2003–2006
  • NSF IIS-0535105: Knowledge Representation Mechanisms for Explicitly Self-Aware Agents, 2006–2009
Last updated: 4 April 2011.