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Operations Research Ontology for the Integration of Analytic Methods and Transactional Data

  • Edrisi MuñozEmail author
  • Elisabet Capón-García
  • Jose M. Laínez-Aguirre
  • Antonio Espuña
  • Luis Puigjaner
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 405)

Abstract

The solution of process systems engineering problems involves their formal representation and application of algorithms and strategies related to several scientific disciplines, such as computer science or operations research. In this work, the domain of operations research is modelled within a semantic representation in order to systematize the application of the available methods and tools to the decision-making processes within organizations. As a result, operations research ontology is created. Such ontology is embedded in a wider framework that contains two additional ontologies, namely, the enterprise ontology project and a mathematical representation, and additionally it communicates with optimization algorithms. The new ontology provides a means for automating the creation of mathematical models based on operations research principles.

Keywords

Operations research Enterprise wide optimization Decision support systems Knowledge management 

Notes

Acknowledgments

Authors would like to acknowledge the Spanish Ministerio de Economía y Competitividad and the European Regional Development Fund for supporting the present research by projects EHMAN (DPI2009-09386) and SIGERA (DPI2012-37154-C02-01). Finally the financial support received from CIMAT México is also fully acknowledged.

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Copyright information

© Springer International Publishing Switzerland 2016

Authors and Affiliations

  • Edrisi Muñoz
    • 1
    Email author
  • Elisabet Capón-García
    • 2
  • Jose M. Laínez-Aguirre
    • 3
  • Antonio Espuña
    • 4
  • Luis Puigjaner
    • 4
  1. 1.Centro de Investigación en Matemáticas A.C.GuanajuatoMexico
  2. 2.Department of Chemistry and Applied BiosciencesETH ZürichZurichSwitzerland
  3. 3.Department of Industrial and Systems EngineeringUniversity at BuffaloAmherstUSA
  4. 4.Department of Chemical EngineeringUniversitat Politècnica de CatalunyaBarcelonaSpain

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