Advertisement

An Ontological Framework for Decision Support

  • Marco Rospocher
  • Luciano Serafini
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 7774)

Abstract

In the last few years, ontologies have been successfully exploited by Decision Support Systems (DSSs) to support some phases of the decisionmaking process. In this paper, we propose to employ an ontological representation for all the content both processed and produced by a DSS in answering requests. This semantic representation supports the DSS in the whole decisionmaking process, and it is capable of encoding (i) the request, (ii) the data relevant for it, and (iii) the conclusions/suggestions/decisions produced by the DSS. The advantages of using an ontology-based representation of the main data structure of a DSS are many: (i) it enables the integration of heterogeneous sources of data available in the web, and to be processed by the DSS, (ii) it allows to track, and to expose in a structured form to additional services (e.g., explanation or case reuse services), all the content processed and produced by the DSS for each request, and (iii) it enables to exploit logical reasoning for some of the inference steps of the DSS decision-making process. The proposed approach have been successfully implemented and exploited in a DSS for personalized environmental information, developed in the context of the PESCaDO EU project.

Keywords

Decision Support Decision Support System Data Component Link Open Data Ontological Framework 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. 1.
    Laskey, K.B.: Decision Making and Decision Support (2006), http://ite.gmu.edu/~klaskey/SYST542/DSS_Unit1.pdf
  2. 2.
    Marakas, G.M.: Decision support systems in the twenty-first century. Prentice-Hall, Inc., Upper Saddle River (1999)Google Scholar
  3. 3.
    Esposito, M., De Pietro, G.: An ontology-based fuzzy decision support system for multiple sclerosis. Eng. Appl. Artif. Intell. 24(8), 1340–1354 (2011)CrossRefGoogle Scholar
  4. 4.
    Ishizu, S., Gehrmann, A., Minegishi, J., Nagai, Y.: Ontology-driven decision support systems for management system audit. In: Proc. of the 52nd Annual Meeting of the ISSS (2008)Google Scholar
  5. 5.
    Choraś, M., Kozik, R., Flizikowski, A., Renk, R., Hołubowicz, W.: Ontology-based decision support for security management in heterogeneous networks. In: Huang, D.-S., Jo, K.-H., Lee, H.-H., Kang, H.-J., Bevilacqua, V. (eds.) ICIC 2009. LNCS (LNAI), vol. 5755, pp. 920–927. Springer, Heidelberg (2009)CrossRefGoogle Scholar
  6. 6.
    Wyner, A.: An ontology in owl for legal case-based reasoning. Artif. Intell. Law 16(4), 361–387 (2008)CrossRefGoogle Scholar
  7. 7.
    Casanovas, P., Casellas, N., Vallbé, J.-J.: An ontology-based decision support system for judges. In: Proceedings of the 2009 Conference on Law, Ontologies and the Semantic Web: Channelling the Legal Information Flood, pp. 165–175. IOS Press (2009)Google Scholar
  8. 8.
    Ceccaroni, L., Cortés, U., Sànchez-Marrè, M.: OntoWEDSS: augmenting environmental decision-support systems with ontologies. Environmental Modelling & Software 19(9), 785–797 (2004)CrossRefGoogle Scholar
  9. 9.
    Zagorulko, Y., Zagorulko, G.: Ontology-based approach to development of the decision support system for oil-and-gas production enterprise. In: Proceedings of the 2010 Conference on New Trends in Software Methodologies, Tools and Techniques: Proceedings of the 9th SoMeT 2010, pp. 457–466. IOS Press, Amsterdam (2010)Google Scholar
  10. 10.
    Pangjitt, T., Sunetnanta, T.: A model of ontology driven case-based reasoning for electronic issue management systems. In: International Joint Conference on Computer Science and Software Engineering (2011)Google Scholar
  11. 11.
    Saremi, A., Esmaeili, M., Habibi, J., Ghaffari, A.: O2dss: A framework for ontology-based decision support systems in pervasive computing environment. In: Proceedings of the 2008 Second Asia International Conference on Modelling & Simulation (AMS 2008), pp. 41–45. IEEE Computer Society, Washington, DC (2008)CrossRefGoogle Scholar
  12. 12.
    Wanner, L., Vrochidis, S., Tonelli, S., Moßgraber, J., Bosch, H., Karppinen, A., Myllynen, M., Rospocher, M., Bouayad-Agha, N., Bügel, U., Casamayor, G., Ertl, T., Kompatsiaris, I., Koskentalo, T., Mille, S., Moumtzidou, A., Pianta, E., Saggion, H., Serafini, L., Tarvainen, V.: Building an environmental information system for personalized content delivery. In: Hřebíček, J., Schimak, G., Denzer, R. (eds.) ISESS 2011. IFIP AICT, vol. 359, pp. 169–176. Springer, Heidelberg (2011)CrossRefGoogle Scholar
  13. 13.
    Smith, M.K., Welty, C., McGuinness, D.L.: Owl web ontology language guide. W3C Recommendation (2004)Google Scholar
  14. 14.
    Moreau, L., Clifford, B., Freire, J., Futrelle, J., Gil, Y., Groth, P.T., Kwasnikowska, N., Miles, S., Missier, P., Myers, J., Plale, B., Simmhan, Y., Stephan, E.G., Van den Bussche, J.: The open provenance model core specification (v1.1). Future Generation Comp. Syst. 27(6), 743–756 (2011)CrossRefGoogle Scholar
  15. 15.
    Tonelli, S., Rospocher, M., Pianta, E., Serafini, L.: Boosting collaborative ontology building with key-concept extraction. In: Proceedings of the Fifth IEEE International Conference on Semantic Computing, Stanford, CA, USA (2011)Google Scholar
  16. 16.
    Shearer, R., Motik, B., Horrocks, I.: HermiT: A Highly-Efficient OWL Reasoner. In: Ruttenberg, A., Sattler, U., Dolbear, C. (eds.) Proc. of the 5th Int. Workshop on OWL: Experiences and Directions (OWLED 2008 EU), Karlsruhe, October 26-27 (2008)Google Scholar
  17. 17.
    hp: Jena - A Semantic Web Framework for Java (2002), http://jena.sourceforge.net/index.html
  18. 18.
    Moßgraber, J., Rospocher, M.: Ontology management in a service-oriented architecture. In: 11th International Workshop on Web Semantics and Information Processing, WebS 2012 (2012)Google Scholar
  19. 19.
    Bouayad-Agha, N., Casamayor, G., Mille, S., Rospocher, M., Saggion, H., Serafini, L., Wanner, L.: From ontology to NL: Generation of multilingual user-oriented environmental reports. In: Bouma, G., Ittoo, A., Métais, E., Wortmann, H. (eds.) NLDB 2012. LNCS, vol. 7337, pp. 216–221. Springer, Heidelberg (2012)CrossRefGoogle Scholar
  20. 20.
    Broekstra, J., Kampman, A., van Harmelen, F.: Sesame: A generic architecture for storing and querying rdf and rdf schema. In: Horrocks, I., Hendler, J. (eds.) ISWC 2002. LNCS, vol. 2342, pp. 54–68. Springer, Heidelberg (2002)CrossRefGoogle Scholar
  21. 21.
    Erling, O., Mikhailov, I.: Virtuoso: Rdf support in a native rdbms. In: Semantic Web Information Management, pp. 501–519. Springer (2009)Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2013

Authors and Affiliations

  • Marco Rospocher
    • 1
  • Luciano Serafini
    • 1
  1. 1.FBK-irstTrentoItaly

Personalised recommendations