Agent for information source location in a dynamic DSS

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 develop...

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Autores principales: Mozzati, Carlos, Taverna, María Laura, Caliusco, María Laura, Chiotti, Omar Juan Alfredo, Galli, María Rosa
Formato: Objeto de conferencia
Lenguaje:Inglés
Publicado: 2002
Materias:
Acceso en línea:http://sedici.unlp.edu.ar/handle/10915/23096
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id I19-R120-10915-23096
record_format dspace
institution Universidad Nacional de La Plata
institution_str I-19
repository_str R-120
collection SEDICI (UNLP)
language Inglés
topic Ciencias Informáticas
Software Agents
Knowledge Management
Decision Support System
Software
información
Intelligent agents
spellingShingle Ciencias Informáticas
Software Agents
Knowledge Management
Decision Support System
Software
información
Intelligent agents
Mozzati, Carlos
Taverna, María Laura
Caliusco, María Laura
Chiotti, Omar Juan Alfredo
Galli, María Rosa
Agent for information source location in a dynamic DSS
topic_facet Ciencias Informáticas
Software Agents
Knowledge Management
Decision Support System
Software
información
Intelligent agents
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.
format Objeto de conferencia
Objeto de conferencia
author Mozzati, Carlos
Taverna, María Laura
Caliusco, María Laura
Chiotti, Omar Juan Alfredo
Galli, María Rosa
author_facet Mozzati, Carlos
Taverna, María Laura
Caliusco, María Laura
Chiotti, Omar Juan Alfredo
Galli, María Rosa
author_sort Mozzati, Carlos
title Agent for information source location in a dynamic DSS
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
publishDate 2002
url http://sedici.unlp.edu.ar/handle/10915/23096
work_keys_str_mv AT mozzaticarlos agentforinformationsourcelocationinadynamicdss
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AT caliuscomarialaura agentforinformationsourcelocationinadynamicdss
AT chiottiomarjuanalfredo agentforinformationsourcelocationinadynamicdss
AT gallimariarosa agentforinformationsourcelocationinadynamicdss
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