research-article

Method for extracting commonsense knowledge

Authors:

Hakki C. Cankaya,

Dan MoldovanAuthors Info & Claims

K-CAP '09: Proceedings of the fifth international conference on Knowledge capture

Pages 57 - 64

https://doi.org/10.1145/1597735.1597746

Published: 01 September 2009 Publication History

Abstract

This paper presents a semiautomatic method for generating commonsense axioms. The method relies on three metarules that process a few commonsense rules referring to some concept properties. The proposed algorithm searches automatically in Extended WordNet for all concepts that have a given property and generates axioms linking those concepts with the seed commonsense rule. The results show that using 27 commonsense rules, the algorithm generated 2596 axioms of which 98% were validated by human. The generation of commonsense axioms is useful to many natural language applications that require reasoning.

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Cited By

Abeyruwan SVisser ULemmon VSchürer S(2013)PrOntoLearn: Unsupervised Lexico-Semantic Ontology Generation Using Probabilistic MethodsUncertainty Reasoning for the Semantic Web II10.1007/978-3-642-35975-0_12(217-236)Online publication date: 2013
https://doi.org/10.1007/978-3-642-35975-0_12
Pinheiro VFurtado VPequeno TFranco W(2012)A semi-automated method for acquisition of common-sense and inferentialist knowledgeJournal of the Brazilian Computer Society10.1007/s13173-012-0082-619:1(75-87)Online publication date: 11-Aug-2012
https://doi.org/10.1007/s13173-012-0082-6
Roff-Wexler SDonovan LRasa S(2011)Challenging our AssumptionsSocial Knowledge10.4018/978-1-60960-203-1.ch003(37-60)Online publication date: 2011
https://doi.org/10.4018/978-1-60960-203-1.ch003

Index Terms

Method for extracting commonsense knowledge
1. Information systems
  1. Information retrieval

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cover image ACM Conferences

K-CAP '09: Proceedings of the fifth international conference on Knowledge capture

September 2009

222 pages

ISBN:9781605586588

DOI:10.1145/1597735

General Chair:
Yolanda Gil
USC Information Sciences Institute, USA
,
Program Chair:
Natasha Noy
Stanford University, USA

Copyright © 2009 ACM.

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Published: 01 September 2009

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K-CAP '09

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K-CAP '09: Fifth International Conference on Knowledge Capture 2009

September 1 - 4, 2009

California, Redondo Beach, USA

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Overall Acceptance Rate 55 of 198 submissions, 28%

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Cited By

Abeyruwan SVisser ULemmon VSchürer S(2013)PrOntoLearn: Unsupervised Lexico-Semantic Ontology Generation Using Probabilistic MethodsUncertainty Reasoning for the Semantic Web II10.1007/978-3-642-35975-0_12(217-236)Online publication date: 2013
https://doi.org/10.1007/978-3-642-35975-0_12
Pinheiro VFurtado VPequeno TFranco W(2012)A semi-automated method for acquisition of common-sense and inferentialist knowledgeJournal of the Brazilian Computer Society10.1007/s13173-012-0082-619:1(75-87)Online publication date: 11-Aug-2012
https://doi.org/10.1007/s13173-012-0082-6
Roff-Wexler SDonovan LRasa S(2011)Challenging our AssumptionsSocial Knowledge10.4018/978-1-60960-203-1.ch003(37-60)Online publication date: 2011
https://doi.org/10.4018/978-1-60960-203-1.ch003

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