KISF: An interactive ontology framework

Nowadays information circulates quickly in a human organization, what generates an internal difficulty in preserving inside the organization essential information to support decision-making. Decision Support Systems (DSS) aiding organizational decision-making, had, up to now, rigid inferences machin...

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Detalles Bibliográficos
Autores principales: Pacheco, Edson José, Souza, Luiz C. Guarita, Shmeil, Marcos A., Renaux, Douglas P. B.
Formato: Objeto de conferencia
Lenguaje:Inglés
Publicado: 2003
Materias:
Ciencias Informáticas
ARTIFICIAL INTELLIGENCE
Intelligent agents
Frameworks
Agent
Ontology
SMA
Acceso en línea:http://sedici.unlp.edu.ar/handle/10915/22589
Aporte de:
SEDICI (UNLP) de Universidad Nacional de La Plata
id I19-R120-10915-22589
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
ARTIFICIAL INTELLIGENCE
Intelligent agents
Frameworks
Agent
Ontology
SMA
spellingShingle Ciencias Informáticas
ARTIFICIAL INTELLIGENCE
Intelligent agents
Frameworks
Agent
Ontology
SMA
Pacheco, Edson José
Souza, Luiz C. Guarita
Shmeil, Marcos A.
Renaux, Douglas P. B.
KISF: An interactive ontology framework
topic_facet Ciencias Informáticas
ARTIFICIAL INTELLIGENCE
Intelligent agents
Frameworks
Agent
Ontology
SMA
description Nowadays information circulates quickly in a human organization, what generates an internal difficulty in preserving inside the organization essential information to support decision-making. Decision Support Systems (DSS) aiding organizational decision-making, had, up to now, rigid inferences machines restricted to the organization area. These factors do not totally satisfy an integrated strategic decision-making process within a holistic view, an imposition of the current Information Age. So, the need of developing a DSS with inference capacity to relate the knowledge spread in the organizational structure became clear. To attain such result, the DSS must be associated with other methodologies and/or technologies, such as Artificial Intelligence, like Computational Agents and Ontology. This article intends to present the “KISF” (Knowledge Integration & Sharing Framework), which is an interactive framework using ontology, based on autonomous agents, for the knowledge integration and sharing and support strategic decision-making. The “KISF” provides the ontology construction and evolution throughout the individual and group agent actions when it comes to happen on the phenomenon perception. The framework developed aimed to formally represent the operation of an organization through ontology, and also map the abilities and competences of its members by creating Users’ Profiles. After representing the organizational structure, a society of computational agents was established with the intent of performing computational reasoning within the information formalized by the organization, emphasizing Ontology, Profiles and Phenomena. Rules, priming on representing ways of extracting and formalizing knowledge in organizations, were elaborated. The attained results were shown to managers in the organization so as to undergo importance analysis. These were then incorporated to the Ontology of the organization, allowing its constant learning.Nowadays information circulates quickly in a human organization, what generates an internal difficulty in preserving inside the organization essential information to support decision-making. Decision Support Systems (DSS) aiding organizational decision-making, had, up to now, rigid inferences machines restricted to the organization area. These factors do not totally satisfy an integrated strategic decision-making process within a holistic view, an imposition of the current Information Age. So, the need of developing a DSS with inference capacity to relate the knowledge spread in the organizational structure became clear. To attain such result, the DSS must be associated with other methodologies and/or technologies, such as Artificial Intelligence, like Computational Agents and Ontology. This article intends to present the “KISF” (Knowledge Integration & Sharing Framework), which is an interactive framework using ontology, based on autonomous agents, for the knowledge integration and sharing and support strategic decision-making. The “KISF” provides the ontology construction and evolution throughout the individual and group agent actions when it comes to happen on the phenomenon perception. The framework developed aimed to formally represent the operation of an organization through ontology, and also map the abilities and competences of its members by creating Users’ Profiles. After representing the organizational structure, a society of computational agents was established with the intent of performing computational reasoning within the information formalized by the organization, emphasizing Ontology, Profiles and Phenomena. Rules, priming on representing ways of extracting and formalizing knowledge in organizations, were elaborated. The attained results were shown to managers in the organization so as to undergo importance analysis. These were then incorporated to the Ontology of the organization, allowing its constant learning.
format Objeto de conferencia
Objeto de conferencia
author Pacheco, Edson José
Souza, Luiz C. Guarita
Shmeil, Marcos A.
Renaux, Douglas P. B.
author_facet Pacheco, Edson José
Souza, Luiz C. Guarita
Shmeil, Marcos A.
Renaux, Douglas P. B.
author_sort Pacheco, Edson José
title KISF: An interactive ontology framework
title_short KISF: An interactive ontology framework
title_full KISF: An interactive ontology framework
title_fullStr KISF: An interactive ontology framework
title_full_unstemmed KISF: An interactive ontology framework
title_sort kisf: an interactive ontology framework
publishDate 2003
url http://sedici.unlp.edu.ar/handle/10915/22589
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AT souzaluizcguarita kisfaninteractiveontologyframework
AT shmeilmarcosa kisfaninteractiveontologyframework
AT renauxdouglaspb kisfaninteractiveontologyframework
bdutipo_str Repositorios
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