Logo PTI Logo FedCSIS

Proceedings of the 18th Conference on Computer Science and Intelligence Systems

Annals of Computer Science and Information Systems, Volume 35

Future and Backward Exploration of XR Environments

, , ,

DOI: http://dx.doi.org/10.15439/2023F2375

Citation: Proceedings of the 18th Conference on Computer Science and Intelligence Systems, M. Ganzha, L. Maciaszek, M. Paprzycki, D. Ślęzak (eds). ACSIS, Vol. 35, pages 961–965 ()

Full text

Abstract. XR environments are successfully used in various domains, such as medicine, education, training, and industry. Such environments contain domain knowledge expressed through content and users' behavior. However, current approaches to XR creation lack possibility of exploration of the knowledge included in the environments and expressed by the users' behavior. In this paper, we propose a method of knowledge exploration in XR environments, enabling the analysis of past and potential behavior of users and objects, with queries and automated reasoning. This solution aims to enhance knowledge dissemination using XR.

References

  1. W3C. (accessed March 24, 2015) Rdf. [Online]. Available: http://www.w3.org/TR/2004/REC-rdf-concepts-20040210/
  2. ——. (accessed March 24, 2015) Rdfs. [Online]. Available: http://www.w3.org/TR/2000/CR-rdf-schema-20000327/
  3. ——. (accessed March 24, 2015) Owl. [Online]. Available: http://www.w3.org/2001/sw/wiki/OWL
  4. ——, “Sparql query language for rdf,” accessed March 24, 2015 2008. [Online]. Available: http://www.w3.org/TR/2008/REC-rdf-sparql-query-20080115/
  5. L. F. Sikos, “3D Model Indexing in Videos for Content-based Retrieval via X3D-based Semantic Enrichment and Automated Reasoning,” in Proceedings of the 22Nd International Conference on 3D Web Technology, ser. Web3D ’17. New York, NY, USA: ACM, 2017, pp. 19:1–19:7. [Online]. Available: http://doi.acm.org/10.1145/3055624.3075943
  6. ——, “Spatiotemporal reasoning for complex video event recognition in content-based video retrieval,” in Proceedings of the International Conference on Advanced Intelligent Systems and Informatics 2017, A. E. Hassanien, K. Shaalan, T. Gaber, and M. F. Tolba, Eds. Cham: Springer International Publishing, 2018, pp. 704–713.
  7. B. Pellens, O. De Troyer, W. Bille, and F. Kleinermann, “Conceptual modeling of object behavior in a virtual environment,” in Proceedings of Virtual Concept 2005. Biarritz, France: Springer-Verlag, 2005, pp. 93–94.
  8. B. Pellens, O. De Troyer, W. Bille, F. Kleinermann, and R. Romero, “An ontology-driven approach for modeling behavior in virtual environments,” in Proceedings of On the Move to Meaningful Internet Systems 2005: Ontology Mining and Engineering and its Use for Virtual Reality (WOMEUVR 2005) Workshop, R. Meersman, Z. Tari, and P. Herrero, Eds., no. 3762, Springer-Verlag. Agia Napa, Cyprus: Springer-Verlag, 2005, pp. 1215–1224.
  9. B. Pellens, F. Kleinermann, and O. De Troyer, “A development environment using behavior patterns to facilitate building 3d/vr applications,” in Proc. of the 6th Australasian Conf. on Int. Entertainment, ser. IE ’09. ACM, 2009, pp. 8:1–8:8.
  10. B. Pellens, O. De Troyer, and F. Kleinermann, “Codepa: a conceptual design pattern approach to model behavior for x3d worlds,” in Proceedings of the 13th International Symposium on 3D web technology, Los Angeles, August 09-10, 2008, pp. 91–99.
  11. O. De Troyer, F. Kleinermann, B. Pellens, and W. Bille, “Conceptual modeling for virtual reality,” in Tutorials, posters, panels and industrial contributions at the 26th Int. Conference on Conceptual Modeling - ER 2007, ser. CRPIT, J. Grundy, S. Hartmann, A. H. F. Laender, L. Maciaszek, and J. F. Roddick, Eds., vol. 83. Auckland, New Zealand: ACS, 2007, pp. 3–18.
  12. P. Kapahnke, P. Liedtke, S. Nesbigall, S. Warwas, and M. Klusch, “ISReal: An Open Platform for Semantic-Based 3D Simulations in the 3D Internet,” in International Semantic Web Conference (2), 2010, pp. 161–176.
  13. J. Chmielewski, “Describing interactivity of 3d content.” in Interactive 3D Multimedia Content, W. Cellary and K. Walczak, Eds. Springer, 2012, pp. 195–221.
  14. Y. Chu and T. Li, “Using pluggable procedures and ontology to realize semantic virtual environments 2.0,” in Proceedings of The 7th ACM SIGGRAPH International Conference on Virtual-Reality Continuum and Its Applications in Industry, ser. VRCAI ’08. New York, NY, USA: ACM, 2008, pp. 27:1–27:6.
  15. Y.-L. Chu and T.-Y. Li, “Realizing semantic virtual environments with ontology and pluggable procedures,” in Applications of Virtual Reality, C. S. Lanyi, Ed. Rijeka: IntechOpen, 2012, ch. 9.
  16. P.-Y. Rabattu, B. Massé, F. Ulliana, M.-C. Rousset, D. Rohmer, J.-C. Léon, and O. Palombi, “My corporis fabrica embryo: An ontology-based 3d spatio-temporal modeling of human embryo development,” Journal of Biomedical Semantics, vol. 6, no. 1, p. 36, 2015. [Online]. Available: http://dx.doi.org/10.1186/s13326-015-0034-0
  17. M. Trellet, N. Ferey, M. Baaden, and P. Bourdot, “Interactive visual analytics of molecular data in immersive environments via a semantic definition of the content and the context,” in Immersive Analytics (IA), 2016 Workshop on. IEEE, 2016, pp. 48–53.
  18. C. Chokwitthaya, Y. Zhu, and W. Lu, “Ontology for experimentation of human-building interactions using virtual reality,” Advanced Engineering Informatics, vol. 55, p. 101903, 2023. [Online]. Available: https://www.sciencedirect.com/science/article/pii/S1474034623000319
  19. M. Heitmayer, M. G. Russell, S. Lahlou, and R. D. Pea, “An Ontology for Human-Centered Analysis and Design of Virtual Reality Conferencing,” in TMS Proceedings 2021, nov 3 2021, https://tmb.apaopen.org/pub/3rbumwgw.