An Overview of Practical Ontology Implementation in Decision Support Systems
Ontology has already a rather long history in the computer science. It helps to represent knowledge in the domain of interest and make it available both for humans and machines. For many years, ontologies were mostly considered as an object for academic research, but nowadays they are getting used in a growing number of applications. The suggested paper provides a brief overview of practical ontology implementation in decision support systems. Typical knowledge-intensive tasks were used to organize the overview: one example of a system was provided for each task.
KeywordsOntology Ontological approach Decision support system Management Knowledge-Intensive tasks
The work was supported by the Russian Foundation for Basic Research (#17-07-00228).
- 1.Abdulla, D., Prado de O Martins, L., Schultz, T.: Decolonising Design Education: Ontologies, Strategies, Urgencies (2018). http://ualresearchonline.arts.ac.uk/id/eprint/12504
- 2.Gavrilova, T.: Orchestrating ontologies for courseware design. In: Tzanavari, A., Tsapatsoulis, N. (eds.) Affective, Interactive and Cognitive Methods for E-Learning Design: Creating an Optimal Education Experience, IGI Global, USA, pp. 155–172 (2010)Google Scholar
- 3.Guarino, N.: Formal ontology in information systems. In: Proceedings of the First International Formal Ontology in Information Systems conference FOIS 1998, June 6–8. Trento, Italy: IOS press, pp. 3–15 (1998)Google Scholar
- 5.Latfi, F., Lefebvre, B., Descheneaux, C.: Ontology-based management of the telehealth smart home, dedicated to elderly in loss of cognitive autonomy. In: Proceeding of the OWLED (2007)Google Scholar
- 6.Legat, C., Neidig, J., Roshchin, M.: Model-based Knowledge extraction for automated monitoring and control. In: Proceedings of the 18th IFAC World Congress, pp. 5225–5230. Milan (2011)Google Scholar
- 9.Martin, A., Manjula, M., Venkatesan, V.P.: A business intelligence model to predict bankruptcy using financial domain ontology with association rule mining algorithm. IJCSI Int. J. Comput. Sci. Issues 8(3), 211–218 (2011)Google Scholar
- 10.Paraiso, E., Barthès, J.: An Ontology-Based Utterance Interpretation in the Context of Intelligent Assistance, V workshop em Tecnologia da Informacao e da Linguagem Humana, XXVII Congresso da SBC, pp. 1745–1748 (2007)Google Scholar
- 12.Sosnovsky, S., Mitrovic, A., Lee, D., Brusilovsky, P., Yudelson, M.: Ontology-based integration of adaptive educational systems. In: 16th International Conference on Computers in Education (ICCE 2008 Taipei, Taiwan, 2008), pp. 11–18 (2008)Google Scholar