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Article: Libra: a high fidelity knowledge-based system for recommending scheduling programs

TitleLibra: a high fidelity knowledge-based system for recommending scheduling programs
Authors
KeywordsHigh Fidelity
Hypertext-Based System
Knowledge-Based System
Scheduling Programs
Issue Date1997
Citation
Artificial Intelligence in Engineering, 1997, v. 11 n. 2, p. 77-90 How to Cite?
AbstractContemporary knowledge systems are usually neither easy to use or understand. We propose a new class of knowledge systems, which we call high fidelity systems, that use representations and processes that closely resemble the objects and tasks with which people are already familiar. To illustrate the concept of high fidelity, we describe Libra, one such system for recommending scheduling programs. Our initial experience with Libra and its usage suggests that high fidelity not only enhances the user acceptability of knowledge-based systems, but it also facilities high speed design and implementation. We chose to replicate the knowledge in Libra because it is already published, and because we wanted to show that a Libra user can have an interface similar to the diagrams drawn in the journal paper. The latter was used to describe the knowledge-based framework for selecting scheduling systems. If we can replicate them in the user interface, we would have successfully created a high fidelity system - that is, the Libra user interface would be at least as able to communicate the framework to the user as the journal paper. © 1997 Elsevier Science Ltd. All rights reserved.
Persistent Identifierhttp://hdl.handle.net/10722/156456
ISSN
2003 Impact Factor: 0.645
References

 

DC FieldValueLanguage
dc.contributor.authorSoh, CKen_US
dc.contributor.authorSoh, AKen_US
dc.contributor.authorLai, KYen_US
dc.date.accessioned2012-08-08T08:42:30Z-
dc.date.available2012-08-08T08:42:30Z-
dc.date.issued1997en_US
dc.identifier.citationArtificial Intelligence in Engineering, 1997, v. 11 n. 2, p. 77-90en_US
dc.identifier.issn0954-1810en_US
dc.identifier.urihttp://hdl.handle.net/10722/156456-
dc.description.abstractContemporary knowledge systems are usually neither easy to use or understand. We propose a new class of knowledge systems, which we call high fidelity systems, that use representations and processes that closely resemble the objects and tasks with which people are already familiar. To illustrate the concept of high fidelity, we describe Libra, one such system for recommending scheduling programs. Our initial experience with Libra and its usage suggests that high fidelity not only enhances the user acceptability of knowledge-based systems, but it also facilities high speed design and implementation. We chose to replicate the knowledge in Libra because it is already published, and because we wanted to show that a Libra user can have an interface similar to the diagrams drawn in the journal paper. The latter was used to describe the knowledge-based framework for selecting scheduling systems. If we can replicate them in the user interface, we would have successfully created a high fidelity system - that is, the Libra user interface would be at least as able to communicate the framework to the user as the journal paper. © 1997 Elsevier Science Ltd. All rights reserved.en_US
dc.languageengen_US
dc.relation.ispartofArtificial Intelligence in Engineeringen_US
dc.rightsArtificial Intelligence in Engineering. Copyright © Elsevier Science.-
dc.subjectHigh Fidelityen_US
dc.subjectHypertext-Based Systemen_US
dc.subjectKnowledge-Based Systemen_US
dc.subjectScheduling Programsen_US
dc.titleLibra: a high fidelity knowledge-based system for recommending scheduling programsen_US
dc.typeArticleen_US
dc.identifier.emailSoh, AK: aksoh@hkucc.hku.hken_US
dc.identifier.authoritySoh, AK=rp00170en_US
dc.description.naturelink_to_subscribed_fulltexten_US
dc.identifier.scopuseid_2-s2.0-0031126220en_US
dc.identifier.hkuros23544-
dc.relation.referenceshttp://www.scopus.com/mlt/select.url?eid=2-s2.0-0031126220&selection=ref&src=s&origin=recordpageen_US
dc.identifier.volume11en_US
dc.identifier.issue2en_US
dc.identifier.spage77en_US
dc.identifier.epage90en_US
dc.identifier.scopusauthoridSoh, CK=7102818722en_US
dc.identifier.scopusauthoridSoh, AK=7006795203en_US
dc.identifier.scopusauthoridLai, KY=7402135575en_US

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