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An Architecture for the Semantic Enhancement of Virtual Engineering Applications

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Intelligent Systems for Knowledge Management

Part of the book series: Studies in Computational Intelligence ((SCI,volume 252))

Abstract

Virtual Engineering (VE) is defined as the integration of geometric models and related engineering tools (such as analysis, simulation, optimization and decision-making, etc), within a computerized environment that facilitates multidisciplinary and collaborative product development [1]. The focus of Virtual Engineering is to engage the human capacity for evaluation of complex systems and situations [2]. In this article, we present an architecture for the Semantic enhancement of Virtual Engineering Applications (VEA) through their embedded Virtual Engineering Tools. Our architecture follows a User-Intention-Domain schema and makes use of state of the art technologies like the Set of Experience Knowledge Structure and the Reflexive Ontologies in order to offer a better User experience with VEA. The main advantages of using Semantics in VEA can be summarized are: (i) an improved information and embedded Knowledge management, (ii) Enhancements in the search, knowledge and information sharing processes during the use of the VEA, (iii) The use of the intrinsic Knowledge embedded in the elements being described by the VEA and (iv) the empowerment of the User’s knowledge and embedding of such knowledge in a structured and explicit conceptualization.

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References

  1. Jian, C.Q., McCorkle, D., Lorra, M.A., Bryden, K.M.: Applications of virtual engineering in combustion equipment development and engineering. In: ASME (ed.) ASME International Mechanical Engineering Congress and Expo, IMECE 2006–14362, Chicago, November 2006. ASME, ASME Publishers (2006)

    Google Scholar 

  2. McCorkle, D.S., Bryden, K.M., Swensen, D.A.: Using virtual engineering tools to reduce nox emissions. In: Proceedings of ASME Power 2004. POWER2004-52021, March 2004, pp. 441–446. ASME Publishers (2004)

    Google Scholar 

  3. Press, O.U.: Oxford Dictionary of English, 2nd revised edn. Oxford University Press, Oxford (2003)

    Google Scholar 

  4. Feigenbaum, E., McCorduck, P.: The Fifth Generation. Addison-Wesley, Reading (1983)

    Google Scholar 

  5. Gruber, T.: Toward principles for the design of ontologies used for knowledge sharing. International Journal of Human-Computer Studies 43(5-6), 907–928 (1995)

    Article  Google Scholar 

  6. Antoniou, G., Harmelen, F.V.: Web ontology language: OWL. In: Handbook on Ontologies in Information Systems, pp. 67–92. Springer, Heidelberg (2003)

    Google Scholar 

  7. Haarslev, V., Muller, R.: Racer: An OWL reasoning agent for the semantic web. In: Proc. of the International Workshop on Applications, Products and Services of Web-based Support Systems, in conjunction with 2003 IEEE/WIC International Conference on Web Intel ligence, pp. 91–95. Society Press (2003)

    Google Scholar 

  8. Toro, C., Sanín, C., Szczerbicki, E., Posada, J.: Reflexive Ontologies: Enhancing Ontologies with self-contained queries. Cybernetics and Systems: An International Journal 39(1-19) (2008)

    Google Scholar 

  9. Sanin, C., Szczerbicki, E., Toro, C.: An owl ontology of set of experience knowledge structure. J. UCS 13(2), 209–223 (2007)

    Google Scholar 

  10. McCorkle, D.S., Bryden, K.M.: Using the Semantic Web to Enable Integration with Virtual Engineering Tools. In: London, S. (ed.) Proceedings of the 1st International Virtual Manufacturing Workshop (March 2006)

    Google Scholar 

  11. McCorkle, D.S., Bryden, K.M.: Using the semantic web technologies in virtual engineering tools to create extensible interfaces. Virtual Real 11(4), 253–260 (2007)

    Article  Google Scholar 

  12. Huang, G., Bryden, K.M.: Introducing virtual engineering technology into interactive design process with high-fidelity models. In: WSC 2005: Proceedings of the 37th conference on Winter simulation, Winter Simulation Conference, pp. 1958–1967 (2005)

    Google Scholar 

  13. Kunz, J.C., Christiansen, T.R., Cohen, G.P., Jin, Y., Levitt, R.E.: The virtual design team. Commun. ACM 41(11), 84–91 (1998)

    Article  Google Scholar 

  14. Friedell, M.M., Corporation, L.D.: Interaction paradigms for human-computer cooperation in design

    Google Scholar 

  15. Toro, C.: Semantic Enhancement of Virtual Engineering Applications. PhD thesis, University of the Basque Country (March 2009)

    Google Scholar 

  16. Cobos, Y., Toro, C., Sarasua, C., Vaquero, J., Linaza, M.T., Posada, J.: An architecture for fast semantic retrieval in the film heritage domain. In: 6th International Workshop on Content-Based Multimedia Indexing (CBMI), June 2008, pp. 272–279. IEEE, Los Alamitos (2008)

    Chapter  Google Scholar 

  17. Toro, C., Sanín, C., Vaquero, J., Posada, J., Szczerbicki, E.: Knowledge Based Industrial Maintenance Using Portable Devices and Augmented Reality. In: Apolloni, B., Howlett, R.J., Jain, L. (eds.) KES 2007, Part I. LNCS (LNAI), vol. 4692, pp. 295–302. Springer, Heidelberg (2007)

    Chapter  Google Scholar 

  18. Wilson, J.: The management of the maintenance department in industrial plants. Master’s thesis, Massachusetts Institute of Technology. Dept. of Business and Engineering Administration, May 17 (1929), http://dspace.mit.edu/handle/1721.1/16521

  19. Naka jima, S.: Introduction to TPM. Technical report, Japan Institute for Plant Maintenance (1991)

    Google Scholar 

  20. Weidenhausen, J., Knoepfle, C., Stricker, D.: Lessons learned on the way to industrial augmented Reality applications, a retrospective on ARVIKA. Computers and Graphics 27(6), 887–891 (2003)

    Article  Google Scholar 

  21. Comport, A.I., March, E., Chaumette, F.: A real-time tracker for markerless augmented reality. In: ACM/IEEE Int. Symp. on Mixed and Augmented Reality, ISMAR 2003, pp. 36–45 (2003)

    Google Scholar 

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Toro, C., Graña, M., Posada, J., Sanín, C., Szczerbicki, E. (2009). An Architecture for the Semantic Enhancement of Virtual Engineering Applications. In: Nguyen, N.T., Szczerbicki, E. (eds) Intelligent Systems for Knowledge Management. Studies in Computational Intelligence, vol 252. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-04170-9_8

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  • DOI: https://doi.org/10.1007/978-3-642-04170-9_8

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-04169-3

  • Online ISBN: 978-3-642-04170-9

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