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Correcting scientific knowledge in a general-purpose ontology

Lipschultz, M and Litman, D (2010) Correcting scientific knowledge in a general-purpose ontology. In: UNSPECIFIED UNSPECIFIED, 374 - 376. ISBN 364213436X, 9783642134364

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General-purpose ontologies (e.g. WordNet) are convenient, but they are not always scientifically valid. We draw on techniques from semantic class learning to improve the scientific validity of WordNet's physics forces hyponym (IS-A) hierarchy for use in an intelligent tutoring system. We demonstrate the promise of a web-based approach which gathers web statistics used to relabel the forces as scientifically valid or scientifically invalid. Our results greatly improve the F1 for predicting scientific invalidity, with small improvements in F1 for predicting scientific validity and in overall accuracy compared to the WordNet baseline. © 2010 Springer-Verlag.


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Item Type: Book Section
Status: Published
CreatorsEmailPitt UsernameORCID
Lipschultz, Mmil28@pitt.eduMIL28
Litman, Ddlitman@pitt.eduDLITMAN
Centers: University Centers > Learning Research and Development Center (LRDC)
Date: 27 August 2010
Date Type: Publication
Access Restriction: No restriction; Release the ETD for access worldwide immediately.
Journal or Publication Title: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume: 6095 L
Number: PART 2
Page Range: 374 - 376
Event Type: Conference
DOI or Unique Handle: 10.1007/978-3-642-13437-1_75
Institution: University of Pittsburgh
Schools and Programs: Dietrich School of Arts and Sciences > Computer Science
Dietrich School of Arts and Sciences > Intelligent Systems
Refereed: Yes
ISBN: 364213436X, 9783642134364
ISSN: 0302-9743
Date Deposited: 14 Jan 2015 20:34
Last Modified: 12 Dec 2021 16:55


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