Abstract
In this paper, we propose a frame-work to represent the Virtual Engineering Objects (VEO) utilizing Set of Knowledge Experience Structure (SOEKS) and Decisional DNA. A VEO will enable the discovery of new knowledge in a manufacturing unit and the generation of new rules that drive reasoning. The proposed VEO framework will not only be knowledge based representation but it will also have its associated experience embedded within it. This concept will evolve and discover implicit knowledge in industrial plant, which can be beneficial for the engineers and practitioners. A VEO will be a living representation of an object; capable of adding, storing, improving and sharing knowledge through experience, similar to an expert of that area.
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References
Verhagen, W.J.C., Garcia, P.B., Van Dijk, R.E.C., Curran, R.: A critical review of Knowledge-Based Engineering: An identification of research challenges. Advanced Engineering Informatics 26, 5–15 (2012)
Baxter, D., Gao, J., Case, K., Harding, J., Young, R., Cochrane, S., Dani, S.: An engineering design knowledge reuse methodology using process modelling. International Journal of Research in Engineering Design 18, 37–48 (2007)
Sanin, C., Szczerbicki, E.: Set of Experience: A Knowledge Structure for Formal Decision Events. Foundations of Control and Management Sciences 3, 95–113 (2005)
Sung, R.C.W., Ritchie, J.M., Lim, T., Kosmadoudi, Z.: Automated generation of engineering rationale, knowledge and intent representations during the product life cycle. Virtual Reality 16, 69–85 (2012)
Sanin, C., Szczerbicki, E.: Towards the Construction of Decisional DNA: A Set of Experience Knowledge Structure Java Class within an Ontology System. Cybernetics and Systems 38, 859–878 (2007)
Sanin, C., Toro, C., Haoxi, Z., Sanchez, E., Szczerbicki, E., Carrasco, E., Peng, W., Mancilla-Amaya, L.: Decisional DNA: A multi-technology shareable knowledge structure for decisional experience. Neurocomputing 88, 42–53 (2012)
Sanin, C., Szczerbicki, E.: Extending Set of Experience Knowledge Structure into a Transportable Language extensible Markup Language. Cybernetics and Systems 37, 97–117 (2006)
SanÃn, C.: Smart Knowledge Management System, Thesis of Doctor of Philosophy Degree From The University of Newcastle Department Of Mechanical Engineering, Newcastle, Australia (2007)
Shafiq, S.I., Sanin, C., Szczerbicki, E., Toro, C.: Using Decisional DNA to Enhance Industrial and Manufacturing Design: Conceptual Approach. In: 34th International Conference on Information Systems Arhitecture and Technology, Szklarska Poreba, Poland, pp. 23–32. Wroclaw University of Technology (2013)
Davis, R., Shrobe, H., Szolovits, P.: What is a Knowledge Representation? AI Magazine 14, 17–33 (1993)
Toro, C., SanÃn, C., Szczerbicki, E., Posada, J.: Reflexive Ontologies: Enhancing Ontologies With Self-Contained Queries. Cybernetics and Systems 39, 171–189 (2008)
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Shafiq, S.I., Sanin, C., Szczerbicki, E., Toro, C. (2014). Decisional DNA Based Framework for Representing Virtual Engineering Objects. In: Nguyen, N.T., Attachoo, B., Trawiński, B., Somboonviwat, K. (eds) Intelligent Information and Database Systems. ACIIDS 2014. Lecture Notes in Computer Science(), vol 8397. Springer, Cham. https://doi.org/10.1007/978-3-319-05476-6_43
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DOI: https://doi.org/10.1007/978-3-319-05476-6_43
Publisher Name: Springer, Cham
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