MiR-EO: Reflective Middleware for Ontological Emergency in Intelligent Environments

  • Maribel Mendonça Universidad Centroccidental Lisandro Alvarado
  • Jose Aguilar Universidad de Los Andes
  • Niriaska Perozo Universidad Centroccidental Lisandro Alvarado
Keywords: Ontological emergence, reflective middleware, smart environments

Abstract

In a Smart Environment (AmI), the devices that participate must exchange knowledge permanently, for which they must understand and manage a common language. The ontologies in an AmI are an ideal tool for this, making possible the communication between the intelligent objects that are part of the environment. These ontologies must be distributed, heterogeneous and dynamic, since they must adapt to the changes, needs and services of the AmI. This article proposes the implementation of a middleware that allows the ontological emergence, to manage all the knowledge that can be generated in an AmI.

This middleware, called MiR-EO, is implemented as a reflective middleware, which manages its own ontological framework, made up of meta-ontologies that model the elements that must contain the ontologies of an AmI, andenables the ontological emergence process.

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Author Biographies

Maribel Mendonça, Universidad Centroccidental Lisandro Alvarado

Maribel Mendonça es Ingeniero en Informática graduada en 1998 en la Universidad Centroccidental Lisandro Alvarado, Barquisimeto, Venezuela. M.Sc. en Ciencias de la Computación en 2004 de la Universidad Centroccidental Lisandro Alvarado, Venezuela. Actualmente es Profesora Agregada en el Departamento de Sistemas de la Universidad Centroccidental Lisandro Alvarado, Venezuela. Su área de investigación incluye Inteligencia Artificial y Aprendizaje Ontológico.

 

Jose Aguilar, Universidad de Los Andes

José Aguilar es Ingeniero de Sistemas graduado en 1987 en la Universidad de los Andes, Mérida, Venezuela. M.Sc. en Ciencias de la Computación en 1991 de la Universidad Paul Sabatier-Toulouse-Francia. Ph.D en Ciencias de la Computación en 1995 de la Universidad de René Descartes-Paris-France. Completó estudios de post-doctorado en la Universidad de Houston. Es investigador en el Centro de Microcomputación y Sistemas Distribuidos (CEMISID) en la Universidad de los Andes. Miembro de la Academia de Ciencias de Mérida y del Comité Técnico Internacional del IEEE-CIS en Redes Neuronales Artificiales.

Niriaska Perozo, Universidad Centroccidental Lisandro Alvarado
Niriaska Perozo es Ingeniero en Informática graduada en 1997 en la Universidad Centroccidental Lisandro Alvarado, Barquisimeto, Venezuela. M.Sc. en Ciencias de la Computación en 2004 de la Universidad de los Andes, Mérida, Venezuela. Doctora en Ciencias Aplicadas (Universidad de los Andes, Mérida, Venezuela) y Neurociencia, Cognición y Comportamiento Colectivo (Universidad Paul Sabatier, Toulouse, Francia) en 2011. Actualmente es Profesora e Investigadora en Inteligencia Artificial en la Universidad Centroccidental Lisandro Alvarado, Venezuela.

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Published
2016-12-09
How to Cite
[1]
M. Mendonça, J. Aguilar, and N. Perozo, “MiR-EO: Reflective Middleware for Ontological Emergency in Intelligent Environments”, LAJC, vol. 3, no. 2, p. 16, Dec. 2016.
Section
Research Articles for the Regular Issue