Abstract
Integration of heterogeneous applications and data sources into an interoperable system is one of the most relevant challenges for many utilities such as Hydro-Québec. Therefore the development of a framework which would facilitate the integration of heterogeneous applications is a challenging, albeit rewarding, task. In this paper we propose an ontology-based distributed blackboard architecture that aims at tackling the semantic interoperability problem.
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References
Vernadat FB. Enterprise modelling and integration: Principles and applications. London: Chapman & Hall; 1996.
Nickull D. Service Oriented Architecture (SOA) and Specialized Messaging Patterns; 2005. Available from: http://www.adobe.com/government/pdfs/SOA-technical-whitepaper.pdf.
Vernadat FB. Interoperable enterprise systems: architecture and methods. In: plenary lecture, IFAC/INCOM conference. Saint-Etienne; 2006.
Izza S. Intégration des systèmes d’information industriels, une approche flexible basée sur les services sémantiques. Ecole Nationale Supérieure des Mines. Saint-Etienne; 2006.
Touzi J. Aide à la conception de Système d’Information Collaboratif support de l’interopérabilité des entreprises. Institut National Polytechnique de Toulouse.. Toulouse; 2007.
Singh MP, Huhns MN. Service-Oriented Computing: Semantics, Processes, Agents. New York: Wiley Computer Publishing; 2005.
Neches R, Fikes R, Finin T, Gruber T, Patil R, Senator T, et al. Enabling technology for knowledge sharing. AI Mag. 1991 September;12:36–56.
Gruber TR. Toward principles for the design of ontologies used for knowledge sharing. Int J Hum-Comput Stud. 1995 December;43:907–928.
Borst WN. Construction of Engineering Ontologies for Knowledge Sharing and Reuse. Univ. of Twente. Enschede; 1997.
Engelmore R, Morgan T. Blackboard systems. Addison-Wesley; 1988.
Corkill DD. Collaborating Software: Blackboard and Multi-Agent Systems & the Future. In: Proceedings of the International Lisp Conference. New York; 2003. .
Manola F, Miller E. RDF primer. W3C; 2004.
Broekstra J, Kampman A, Harmelen FV. Sesame: A Generic Architecture for Storing and Querying RDF and RDF Schema. Springer; 2002. p. 54–68.
The Apache Software Foundation. Apache ActiveMQ; 2011. Available from: http://activemq.apache.org.
IEC. IEC 61970-301 Common Information Model Base, third edition; 2011.
Britton JP, deVos AN. CIM-based standards and CIM evolution. Power Systems, IEEE Transactions on. 2005 may;20(2):758 – 764.
McMorran AW. An Introduction to IEC 61970-301 & 61968-11: The Common Information Model; 2007.
Prud’hommeaux E, Seaborne A. SPARQL Query Language for RDF. W3C; 2008.
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Viau, M., Bouffard, A., Zinflou, A., Vanier, G. (2012). ODAS: A Multi-Agent Architecture for Semantic Interoperability in Industrial Context. In: Poler, R., Doumeingts, G., Katzy, B., Chalmeta, R. (eds) Enterprise Interoperability V. Proceedings of the I-ESA Conferences, vol 5. Springer, London. https://doi.org/10.1007/978-1-4471-2819-9_14
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DOI: https://doi.org/10.1007/978-1-4471-2819-9_14
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