Experience-Based Support for Human-Centered Knowledge Modeling

Autores
Leake, David; Maguitman, Ana Gabriela; Reichherzer, Thomas
Año de publicación
2014
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
The construction, capture and sharing of human knowledge is one of the fundamental problems of human-centered computing. Electronic concept maps have proven to be a useful vehicle for building knowledge models. However, the user has to deal with the difficult task of deciding what information to include in these models. This article reports the culmination of a multi-year research project aimed at developing intelligent suggesters designed to aid users of concept mapping tools as they build their knowledge models. It describes DISCERNER and EXTENDER, two proactive suggesters that can be incorporated into the CmapTools concepts mapping system. DISCERNER applies case-based reasoning techniques to suggest potentially useful propositions mined from other users’ knowledge models, while EXTENDER mines search engines to suggest new related areas to model. The article presents experimental results addressing two previously open questions for the project: DISCERNER’S retrieval accuracy and EXTENDER’S ability to generate artificial topics with content similar to topics determined by domain experts. Both experiments show satisfactory results.
Fil: Leake, David . Indiana University; Estados Unidos
Fil: Maguitman, Ana Gabriela. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universidad Nacional del Sur; Argentina
Fil: Reichherzer, Thomas . University of West Florida; Estados Unidos
Materia
Case-Based Reasoning
Concept Mapping
Intelligent User Interface
Knowledge Discovery
Knowledge Modeling
Nivel de accesibilidad
acceso abierto
Condiciones de uso
https://creativecommons.org/licenses/by-nc-nd/2.5/ar/
Repositorio
CONICET Digital (CONICET)
Institución
Consejo Nacional de Investigaciones Científicas y Técnicas
OAI Identificador
oai:ri.conicet.gov.ar:11336/12388
Acceder
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oai_identifier_str oai:ri.conicet.gov.ar:11336/12388
network_acronym_str CONICETDig
repository_id_str 3498
network_name_str CONICET Digital (CONICET)
spelling Experience-Based Support for Human-Centered Knowledge ModelingLeake, David Maguitman, Ana GabrielaReichherzer, Thomas Case-Based ReasoningConcept MappingIntelligent User InterfaceKnowledge DiscoveryKnowledge Modelinghttps://purl.org/becyt/ford/1.2https://purl.org/becyt/ford/1The construction, capture and sharing of human knowledge is one of the fundamental problems of human-centered computing. Electronic concept maps have proven to be a useful vehicle for building knowledge models. However, the user has to deal with the difficult task of deciding what information to include in these models. This article reports the culmination of a multi-year research project aimed at developing intelligent suggesters designed to aid users of concept mapping tools as they build their knowledge models. It describes DISCERNER and EXTENDER, two proactive suggesters that can be incorporated into the CmapTools concepts mapping system. DISCERNER applies case-based reasoning techniques to suggest potentially useful propositions mined from other users’ knowledge models, while EXTENDER mines search engines to suggest new related areas to model. The article presents experimental results addressing two previously open questions for the project: DISCERNER’S retrieval accuracy and EXTENDER’S ability to generate artificial topics with content similar to topics determined by domain experts. Both experiments show satisfactory results.Fil: Leake, David . Indiana University; Estados UnidosFil: Maguitman, Ana Gabriela. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universidad Nacional del Sur; ArgentinaFil: Reichherzer, Thomas . University of West Florida; Estados UnidosElsevier Science2014-09info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/12388Leake, David ; Maguitman, Ana Gabriela; Reichherzer, Thomas ; Experience-Based Support for Human-Centered Knowledge Modeling; Elsevier Science; Knowledge-Based Systems; 68; 9-2014; 77-870950-7051enginfo:eu-repo/semantics/altIdentifier/url/http://www.sciencedirect.com/science/article/pii/S0950705114000240info:eu-repo/semantics/altIdentifier/doi/10.1016/j.knosys.2014.01.013info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-nd/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-29T09:49:00Zoai:ri.conicet.gov.ar:11336/12388instacron:CONICETInstitucionalhttp://ri.conicet.gov.ar/Organismo científico-tecnológicoNo correspondehttp://ri.conicet.gov.ar/oai/requestdasensio@conicet.gov.ar; lcarlino@conicet.gov.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:34982025-09-29 09:49:00.891CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv Experience-Based Support for Human-Centered Knowledge Modeling
title Experience-Based Support for Human-Centered Knowledge Modeling
spellingShingle Experience-Based Support for Human-Centered Knowledge Modeling
Leake, David
Case-Based Reasoning
Concept Mapping
Intelligent User Interface
Knowledge Discovery
Knowledge Modeling
title_short Experience-Based Support for Human-Centered Knowledge Modeling
title_full Experience-Based Support for Human-Centered Knowledge Modeling
title_fullStr Experience-Based Support for Human-Centered Knowledge Modeling
title_full_unstemmed Experience-Based Support for Human-Centered Knowledge Modeling
title_sort Experience-Based Support for Human-Centered Knowledge Modeling
dc.creator.none.fl_str_mv Leake, David
Maguitman, Ana Gabriela
Reichherzer, Thomas
author Leake, David
author_facet Leake, David
Maguitman, Ana Gabriela
Reichherzer, Thomas
author_role author
author2 Maguitman, Ana Gabriela
Reichherzer, Thomas
author2_role author
author
dc.subject.none.fl_str_mv Case-Based Reasoning
Concept Mapping
Intelligent User Interface
Knowledge Discovery
Knowledge Modeling
topic Case-Based Reasoning
Concept Mapping
Intelligent User Interface
Knowledge Discovery
Knowledge Modeling
purl_subject.fl_str_mv https://purl.org/becyt/ford/1.2
https://purl.org/becyt/ford/1
dc.description.none.fl_txt_mv The construction, capture and sharing of human knowledge is one of the fundamental problems of human-centered computing. Electronic concept maps have proven to be a useful vehicle for building knowledge models. However, the user has to deal with the difficult task of deciding what information to include in these models. This article reports the culmination of a multi-year research project aimed at developing intelligent suggesters designed to aid users of concept mapping tools as they build their knowledge models. It describes DISCERNER and EXTENDER, two proactive suggesters that can be incorporated into the CmapTools concepts mapping system. DISCERNER applies case-based reasoning techniques to suggest potentially useful propositions mined from other users’ knowledge models, while EXTENDER mines search engines to suggest new related areas to model. The article presents experimental results addressing two previously open questions for the project: DISCERNER’S retrieval accuracy and EXTENDER’S ability to generate artificial topics with content similar to topics determined by domain experts. Both experiments show satisfactory results.
Fil: Leake, David . Indiana University; Estados Unidos
Fil: Maguitman, Ana Gabriela. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universidad Nacional del Sur; Argentina
Fil: Reichherzer, Thomas . University of West Florida; Estados Unidos
description The construction, capture and sharing of human knowledge is one of the fundamental problems of human-centered computing. Electronic concept maps have proven to be a useful vehicle for building knowledge models. However, the user has to deal with the difficult task of deciding what information to include in these models. This article reports the culmination of a multi-year research project aimed at developing intelligent suggesters designed to aid users of concept mapping tools as they build their knowledge models. It describes DISCERNER and EXTENDER, two proactive suggesters that can be incorporated into the CmapTools concepts mapping system. DISCERNER applies case-based reasoning techniques to suggest potentially useful propositions mined from other users’ knowledge models, while EXTENDER mines search engines to suggest new related areas to model. The article presents experimental results addressing two previously open questions for the project: DISCERNER’S retrieval accuracy and EXTENDER’S ability to generate artificial topics with content similar to topics determined by domain experts. Both experiments show satisfactory results.
publishDate 2014
dc.date.none.fl_str_mv 2014-09
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
http://purl.org/coar/resource_type/c_6501
info:ar-repo/semantics/articulo
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/11336/12388
Leake, David ; Maguitman, Ana Gabriela; Reichherzer, Thomas ; Experience-Based Support for Human-Centered Knowledge Modeling; Elsevier Science; Knowledge-Based Systems; 68; 9-2014; 77-87
0950-7051
url http://hdl.handle.net/11336/12388
identifier_str_mv Leake, David ; Maguitman, Ana Gabriela; Reichherzer, Thomas ; Experience-Based Support for Human-Centered Knowledge Modeling; Elsevier Science; Knowledge-Based Systems; 68; 9-2014; 77-87
0950-7051
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/url/http://www.sciencedirect.com/science/article/pii/S0950705114000240
info:eu-repo/semantics/altIdentifier/doi/10.1016/j.knosys.2014.01.013
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
https://creativecommons.org/licenses/by-nc-nd/2.5/ar/
eu_rights_str_mv openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by-nc-nd/2.5/ar/
dc.format.none.fl_str_mv application/pdf
application/pdf
dc.publisher.none.fl_str_mv Elsevier Science
publisher.none.fl_str_mv Elsevier Science
dc.source.none.fl_str_mv reponame:CONICET Digital (CONICET)
instname:Consejo Nacional de Investigaciones Científicas y Técnicas
reponame_str CONICET Digital (CONICET)
collection CONICET Digital (CONICET)
instname_str Consejo Nacional de Investigaciones Científicas y Técnicas
repository.name.fl_str_mv CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicas
repository.mail.fl_str_mv dasensio@conicet.gov.ar; lcarlino@conicet.gov.ar
_version_ 1844613519557787648
score 13.070432

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