MiR-EO: Reflective Middleware for Ontological Emergency in Intelligent Environments
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.
J. Aguilar, “Introducción a los Sistemas Emergentes”, 1ra Edición, Talleres Gráficos,Universidad de Los Andes, 2014.
D. Preuveneers, J. Van den Bergh, D. Wagelaar, A. Georges, P. Rigole, T. Clerckx, and K. De Bosschere, “Towards an extensible context ontology for ambient intelligence”, Ambient intelligence, pp. 148-159, 2004.
L. González and J. Echeverri, “Modelado Conceptual de Usuarios en Ambientes Ubicuos Mediante Agentes Y Ontologías”, Revista EIA, pp. 115-126, nro. 16, 2011.
J. Kiljander, A. Ylisaukko-oja, J. Takalo-Mattila, M. Eteläperä, and J. P. Soininen, “Enabling semantic technology empowered smart spaces”, Journal of Computer Networks and Communications, pp. 1-14, 2012.
T. G. Stavropoulos, D. Vrakas, D. Vlachava, and N. Bassiliades, “BOnSAI: a smart building ontology for ambient intelligence”, Proc.of the 2nd International Conference on Web Intelligence, Mining and Semantics, pp. 30-41, 2012.
K. Hansen, W. Zang, J. Fernandes and M. Ingstrup, “Semantic web ontologies for ambient intelligence”, Proc.of the 1st International Research Workshop on The Internet of Things and Services, pp. 1-6,2 008.
D. Gregor, “Desarrollo de un Servicio Middleware de Ontologías Cooperativas aplicado a Sistemas Embebidos de Transportes Inteligentes”, Tesis Doctoral,Universidad de Sevilla, Sevilla,2013.
T. Gu, X. H. Wang, H. K. Pung, and D. Q. Zhang “An ontology-based context model in intelligent environments”, Proc.of communication networks and distributed systems modeling and simulation conference,vol. 2004, pp. 270-275, 2004.
V. Ricquebourg, D. Durand, D. Menga, B. Marine, L. Delahoche, C. Loge, and A. M. Jolly-Desodt “Context inferring in the Smart Home: An SWRL approach”, Advanced Information Networking and Applications, vol. 2, pp. 290-295, 2007.
J. Diggelen., R. Beun, R. van Eijk, and P. Werkhoven "Efficient semantic information exchange for ambient intelligence", The Computer Journal, pp. 1138-1151, 2010.
Guizzardi, G. “On ontology, ontologies, conceptualizations, modeling languages, and (meta) models”,Frontiers in artificial intelligence and applications,vol. 155, pp. 18-28,2007.
P. Maes “Concepts and Experiments in Computational Reflection”, Proc. of ACM Conference on Object-Oriented Programming,vol. 22, pp. 147-155, 1987.
IBM Autonomic Computing Architecture Team, “Anarchitectural blueprintforautonomiccomputing”, Technical report, IBM Corporation, Hawthorne, NY, Fourth Edition, Junio 2006.
M. Mendonça, J. Aguilar, and N. Perozo, “Una Ontología Emergente para Ambientes Inteligentesbasada en el Algoritmo de Optimización por Colonias de Hormigas”, Proc.ofThe Latin American Computing Conference, pp. 596-606, 2014.
M. Mendonça, J. Aguilar, and N. Perozo, “Middleware Reflexivo Semántico para Ambientes Inteligentes”, Conferencia Nacional de Computación,Informática y Sistemas, pp. 24-32, 2014.
K. Grolinger, M. Capretz, E. Mezghani, and E. Exposito, “Knowledge as a service framework for disaster data management”, Enabling Technologies: Infrastructure for Collaborative Enterprises (WETICE), 2013 IEEE 22nd International Workshop, pp. 313-318, 2013 .
K. Grolinger, E. Mezghani,M.CapretzandE. Exposito,“Collaborative knowledge as a service applied to the disaster management domain”,International Journal of Cloud Computing,vol. 4, no 1, pp. 5-27, 2015.
A. Flahive, D. Taniar, andW. Rahayu, “Ontology as a Service (OaaS): a case for sub-ontology merging on the cloud”, The Journal of Supercomputing,vol. 65, nro. 1, pp.185-216, 2013.
A. Flahive, D. Taniar, and W. Rahayu, “Ontology as a Service (OaaS): extracting and replacing sub-ontologies on the cloud”,Cluster computing,vol.16, nro. 4, pp. 947-960, 2013.
A. Flahive, D.Taniar,and W. Rahayu, “Ontology as a Service (OaaS): extending sub-ontologies on the cloud”, Concurrencyand Computation: Practice and Experience,vol. 27, nro. 8, pp. 2028-2040, 2015.
S. Xu, and W.Zhang,“Knowledge as a service and knowledge breaching”,InServices Computing, IEEE International Conference on, vol. 1, pp. 87-94, 2015.
Q. Quboa, and M. Saraee, “A State-of-the-Art Survey on Semantic Web Mining”, Intelligent Information Management, vol5, pp. 10-17, 2013.
M. Mendonça, J. Aguilar, and N. Perozo, "An approach for Multiple Combination of Ontologies based on the Ants Colony Optimization Algorithm",Proc.of Asia-Pacific Conference on Computer Aided System Engineering,pp. 140-145, 2015.
T. Rodríguez, andJ. Aguilar, J.“Ontological learning for a dynamic semantics ontological framework”, Dyna,vol, 81, nro.187,pp.56-63, 2014.
S. Sharma(2015). Evolution of as-a-Service Era in Cloud. Iowa State University, USA [Online]. Disponible:https://arxiv.org/ftp/arxiv/papers/1507/1507.00939.pdf .
P. Valdiviezo, J. Cordero, J. Aguilar, and M.Sánchez, “Conceptual Design of a Smart Classroom Base on Multiagent System”,International Conference on Artifitial Intelligence ICAI'15, pp. 473-477, 2015.
C. Rangel, J. Aguilar, M. Cerrada, J. Altamiranda, “An Approach for the Emerging Ontology Alignment based on the Bees Colonies”, Intl. Conf. Artificial Intelligence (ICAI'15),pp. 536-541, Julio 2015
M. Sánchez, J.Aguilar, J. Cordero, and P. Valdiviezo, “A Smart Learning Environment based on Cloud Learning”,International Journal of Advanced Information Science and Technology (IJAIST),vol.39, nro.39, pp. 39-52, 2015.
M. Sánchez, J.Aguilar, J. Cordero, andP.Valdiviezo, “Basic features of a Reflective Middleware for Intelligent Learning Environment in the Cloud”, Asia-Pacific Conference on Computer Aided System Engineering (APCASE'15), pp. 1-6, 2015.
Latin-American Journal of Computing is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.
By participating as Author (s) in LAJC, I acknowledge that non-exclusive copyright is transferred to the National Polytechnic School. Find out more in our Copyright Notice.
Furthermore, if the article is accepted for publication in LAJC, Authors give their consent to the Editorial Committee to publish the article in the issue that best suits the interests of the Journal.
LAJC in no event shall be liable for any direct, indirect, incidental, punitive, or consequential copyright infringement claims related to articles that have been submitted for evaluation, or published in any issue of this journal. Find out more in our Disclaimer Notice.