Knowledge Begets Knowledge: Steps towards Assisted Knowledge Acquisition in Cyc

Simple item page
dc.contributor.authorWitbrock, Michael
dc.contributor.authorMatuszek, Cynthia
dc.contributor.authorBrusseau, Antoine
dc.contributor.authorKahlert, Robert
dc.contributor.authorFraser, C. Bruce
dc.contributor.authorLenat, Douglas
dc.date.accessioned2019-07-09T17:23:35Z
dc.date.available2019-07-09T17:23:35Z
dc.date.issued2005
dc.description.abstractThe Cyc project is predicated on the idea that, in order to be effective and flexible, computer software must have an understanding of the context in which its tasks are performed. We believe this context is what is known informally as “common sense.” Over the last twenty years, sufficient common sense knowledge has been entered into Cyc to allow it to more effectively and flexibly support an important task: increasing its own store of world knowledge. In this paper, we describe the Cyc knowledge base and inference system, enumerate the means that it provides for knowledge elicitation, including some means suitable for use by untrained or lightly trained volunteers, review some ways in which we expect to have Cyc assist in verifying and validating collected knowledge, and describe how we expect the knowledge acquisition process to accelerate in the future.en_US
dc.description.urihttps://www.aaai.org/Papers/Symposia/Spring/2005/SS-05-03/SS05-03-015.pdfen_US
dc.format.extent7 pagesen_US
dc.genreconference papers and proceedings preprintsen_US
dc.identifierdoi:10.13016/m2frct-pdqu
dc.identifier.citationMichael Witbrock, et.al, Knowledge Begets Knowledge: Steps towards Assisted Knowledge Acquisition in Cyc, 2005 AAAI Spring Symposium on Knowledge Collection from Volunteer Contributors (KCVC), pp. 99-105, 2005, https://www.aaai.org/Papers/Symposia/Spring/2005/SS-05-03/SS05-03-015.pdfen_US
dc.identifier.urihttp://hdl.handle.net/11603/14364
dc.language.isoen_USen_US
dc.publisherAAAIen_US
dc.relation.isAvailableAtThe University of Maryland, Baltimore County (UMBC)
dc.relation.ispartofUMBC Computer Science and Electrical Engineering Department Collection
dc.rightsThis item is likely protected under Title 17 of the U.S. Copyright Law. Unless on a Creative Commons license, for uses protected by Copyright Law, contact the copyright holder or the author.
dc.subjectCyc knowledge base and inference systemen_US
dc.subjectknowledge elicitationen_US
dc.subjectcomputer software understanding of the context in which its tasks are performeden_US
dc.subjectInteractive Robotics and Language Lab
dc.titleKnowledge Begets Knowledge: Steps towards Assisted Knowledge Acquisition in Cycen_US
dc.typeTexten_US

Files

License bundle
Now showing 1 - 1 of 1
No Thumbnail Available
Name:
license.txt
Size:
2.56 KB
Format:
Item-specific license agreed upon to submission
Description:
Download

Collections

UMBC Computer Science and Electrical Engineering Department