Agent for information source location in a dynamic DSS

Autores
Mozzati, Carlos; Taverna, María Laura; Caliusco, María Laura; Chiotti, Omar Juan Alfredo; Galli, María Rosa
Año de publicación
2002
Idioma
inglés
Tipo de recurso
documento de conferencia
Estado
versión publicada
Descripción
Inside an organization there is information that can only be generated by people, then, when a decision maker in any time and anywhere of an organization requires this information, he/she has to solicit it to who has the ability of generate it. To fulfill this information requirement, we are developing a multiagent system that we call dynamic Decision Support System (DSS). This system is composed by Domain Representative Agents (DRAs); an Information Source Locator Agent (ISLA) and mobile agents called Query Coordinator Agents (QCAs). The ISLA is the agent responsible for guiding information requirements from users to distributed DSS domains that offer greater possibilities of answering them. It has the ability to interpret queries formulated in natural language, to identify the relationships among the characteristics of queries and domains, and to learn from errors that it make during its operation to diminish the number of consulted domains in each information requirement. The purpose of this work is to describe the ISLA architecture and its main components; using design patterns and knowledge engineering methodologies.
Eje: Agentes
Red de Universidades con Carreras en Informática (RedUNCI)
Materia
Ciencias Informáticas
Software Agents
Knowledge Management
Decision Support System
Software
información
Intelligent agents
Nivel de accesibilidad
acceso abierto
Condiciones de uso
http://creativecommons.org/licenses/by-nc-sa/2.5/ar/
Repositorio
SEDICI (UNLP)
Institución
Universidad Nacional de La Plata
OAI Identificador
oai:sedici.unlp.edu.ar:10915/23096
Acceder
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network_name_str SEDICI (UNLP)
spelling Agent for information source location in a dynamic DSSMozzati, CarlosTaverna, María LauraCaliusco, María LauraChiotti, Omar Juan AlfredoGalli, María RosaCiencias InformáticasSoftware AgentsKnowledge ManagementDecision Support SystemSoftwareinformaciónIntelligent agentsInside an organization there is information that can only be generated by people, then, when a decision maker in any time and anywhere of an organization requires this information, he/she has to solicit it to who has the ability of generate it. To fulfill this information requirement, we are developing a multiagent system that we call dynamic Decision Support System (DSS). This system is composed by Domain Representative Agents (DRAs); an Information Source Locator Agent (ISLA) and mobile agents called Query Coordinator Agents (QCAs). The ISLA is the agent responsible for guiding information requirements from users to distributed DSS domains that offer greater possibilities of answering them. It has the ability to interpret queries formulated in natural language, to identify the relationships among the characteristics of queries and domains, and to learn from errors that it make during its operation to diminish the number of consulted domains in each information requirement. The purpose of this work is to describe the ISLA architecture and its main components; using design patterns and knowledge engineering methodologies.Eje: AgentesRed de Universidades con Carreras en Informática (RedUNCI)2002-10info:eu-repo/semantics/conferenceObjectinfo:eu-repo/semantics/publishedVersionObjeto de conferenciahttp://purl.org/coar/resource_type/c_5794info:ar-repo/semantics/documentoDeConferenciaapplication/pdf739-750http://sedici.unlp.edu.ar/handle/10915/23096enginfo:eu-repo/semantics/openAccesshttp://creativecommons.org/licenses/by-nc-sa/2.5/ar/Creative Commons Attribution-NonCommercial-ShareAlike 2.5 Argentina (CC BY-NC-SA 2.5)reponame:SEDICI (UNLP)instname:Universidad Nacional de La Platainstacron:UNLP2025-09-29T10:55:20Zoai:sedici.unlp.edu.ar:10915/23096Institucionalhttp://sedici.unlp.edu.ar/Universidad públicaNo correspondehttp://sedici.unlp.edu.ar/oai/snrdalira@sedici.unlp.edu.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:13292025-09-29 10:55:20.952SEDICI (UNLP) - Universidad Nacional de La Platafalse
dc.title.none.fl_str_mv Agent for information source location in a dynamic DSS
title Agent for information source location in a dynamic DSS
spellingShingle Agent for information source location in a dynamic DSS
Mozzati, Carlos
Ciencias Informáticas
Software Agents
Knowledge Management
Decision Support System
Software
información
Intelligent agents
title_short Agent for information source location in a dynamic DSS
title_full Agent for information source location in a dynamic DSS
title_fullStr Agent for information source location in a dynamic DSS
title_full_unstemmed Agent for information source location in a dynamic DSS
title_sort Agent for information source location in a dynamic DSS
dc.creator.none.fl_str_mv Mozzati, Carlos
Taverna, María Laura
Caliusco, María Laura
Chiotti, Omar Juan Alfredo
Galli, María Rosa
author Mozzati, Carlos
author_facet Mozzati, Carlos
Taverna, María Laura
Caliusco, María Laura
Chiotti, Omar Juan Alfredo
Galli, María Rosa
author_role author
author2 Taverna, María Laura
Caliusco, María Laura
Chiotti, Omar Juan Alfredo
Galli, María Rosa
author2_role author
author
author
author
dc.subject.none.fl_str_mv Ciencias Informáticas
Software Agents
Knowledge Management
Decision Support System
Software
información
Intelligent agents
topic Ciencias Informáticas
Software Agents
Knowledge Management
Decision Support System
Software
información
Intelligent agents
dc.description.none.fl_txt_mv Inside an organization there is information that can only be generated by people, then, when a decision maker in any time and anywhere of an organization requires this information, he/she has to solicit it to who has the ability of generate it. To fulfill this information requirement, we are developing a multiagent system that we call dynamic Decision Support System (DSS). This system is composed by Domain Representative Agents (DRAs); an Information Source Locator Agent (ISLA) and mobile agents called Query Coordinator Agents (QCAs). The ISLA is the agent responsible for guiding information requirements from users to distributed DSS domains that offer greater possibilities of answering them. It has the ability to interpret queries formulated in natural language, to identify the relationships among the characteristics of queries and domains, and to learn from errors that it make during its operation to diminish the number of consulted domains in each information requirement. The purpose of this work is to describe the ISLA architecture and its main components; using design patterns and knowledge engineering methodologies.
Eje: Agentes
Red de Universidades con Carreras en Informática (RedUNCI)
description Inside an organization there is information that can only be generated by people, then, when a decision maker in any time and anywhere of an organization requires this information, he/she has to solicit it to who has the ability of generate it. To fulfill this information requirement, we are developing a multiagent system that we call dynamic Decision Support System (DSS). This system is composed by Domain Representative Agents (DRAs); an Information Source Locator Agent (ISLA) and mobile agents called Query Coordinator Agents (QCAs). The ISLA is the agent responsible for guiding information requirements from users to distributed DSS domains that offer greater possibilities of answering them. It has the ability to interpret queries formulated in natural language, to identify the relationships among the characteristics of queries and domains, and to learn from errors that it make during its operation to diminish the number of consulted domains in each information requirement. The purpose of this work is to describe the ISLA architecture and its main components; using design patterns and knowledge engineering methodologies.
publishDate 2002
dc.date.none.fl_str_mv 2002-10
dc.type.none.fl_str_mv info:eu-repo/semantics/conferenceObject
info:eu-repo/semantics/publishedVersion
Objeto de conferencia
http://purl.org/coar/resource_type/c_5794
info:ar-repo/semantics/documentoDeConferencia
format conferenceObject
status_str publishedVersion
dc.identifier.none.fl_str_mv http://sedici.unlp.edu.ar/handle/10915/23096
url http://sedici.unlp.edu.ar/handle/10915/23096
dc.language.none.fl_str_mv eng
language eng
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
http://creativecommons.org/licenses/by-nc-sa/2.5/ar/
Creative Commons Attribution-NonCommercial-ShareAlike 2.5 Argentina (CC BY-NC-SA 2.5)
eu_rights_str_mv openAccess
rights_invalid_str_mv http://creativecommons.org/licenses/by-nc-sa/2.5/ar/
Creative Commons Attribution-NonCommercial-ShareAlike 2.5 Argentina (CC BY-NC-SA 2.5)
dc.format.none.fl_str_mv application/pdf
739-750
dc.source.none.fl_str_mv reponame:SEDICI (UNLP)
instname:Universidad Nacional de La Plata
instacron:UNLP
reponame_str SEDICI (UNLP)
collection SEDICI (UNLP)
instname_str Universidad Nacional de La Plata
instacron_str UNLP
institution UNLP
repository.name.fl_str_mv SEDICI (UNLP) - Universidad Nacional de La Plata
repository.mail.fl_str_mv alira@sedici.unlp.edu.ar
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