상황 이해를 위한 로봇 지식 체계

  • Published : 2006.10.07

Abstract

Keywords

References

  1. O. Corcho, and A.G. Perez, 'A Roadmap to Ontology Specification Languages' Lecture Notes in Computer Science, 2000, pp. 80-96
  2. M. R. Genesereth, Knowledge interchange format, http://logic.stanford.edu/kif/dpans.html
  3. A. Farquhar, R. Fikes and J. Rice, 'The Ontolingua Server: a tool for collaborative ontology construction', International journal of human-computer studies, 46(6), 1997, pp. 707-727 https://doi.org/10.1006/ijhc.1996.0121
  4. I. Bratko, 'Prolog programming for artificial intelligence,' 3rd ed. Pearson education, 2001, pp. 57
  5. J. Han and M. Kamber, 'Data Mining: Concepts and Techniques,' Morgan Kaufmann, 2001, ch. 6
  6. J. Schoening, IEEE P1600.1 Standard Upper Ontology Working Group, http://suo.ieee.org
  7. Baader, F., Calvanese D., Mcfuinness D.L., Nardi D. and Patel-schneider P.F., 'The description logic handbook,' Cambridge university press, 2003, ch. 2
  8. Bozsak, E., Ehrig M., Handschuh S., Hotho A., Maedce A., Motik B., Oberle D., Schmitz C., Staab S. and Stojanovic L., 'KAON - Towards a Large Scale Semantic Web,' Lecture notes in computer science, No. 2455, 2002, pp. 304-313
  9. W. Hwang, J. Park, H. Suh, H. Kim and I.H. Suh, 'Ontology-based Framework of Robot Context Modeling and Reasoning for Object Recognition' Lecture Notes in Computer Science, 2006
  10. E. Wang, Y. S. Kim, H. S. Kim, J.H. Son, S. Lee, and I. H. Suh, 'Ontology Modeling and Storage System for Robot Context Understanding,' Lecture notes in computer science, 2005, no. 3683, pp. 922-929
  11. S. Thrun, W. Burgard and D. Fox, 'Probabilistic Robotics.' MIT Press 2005, ch. 1
  12. X.H. Wang, D.Q Zhang, T. Gu and H.K. Pung, 'Ontology Based Context Modeling and Reasoning using OWL,' Proc. of the Second IEEE Annual Conference on Pervasive Computing and Communication Workshops (PERCOMW'04), 2004
  13. K. Henricksen, J. Indulska, and A. Rakotonirainy, 'Modeling Context Information in Pervasive Computing Systmems,' Lecture notes in computer science, 2002, no. 241, pp. 167-180
  14. D. Lowe, 'Distinctive image features from scale-invariant keypoints,' International Journal of Computer Vision, Vol.60, pp.91-110, 2004 https://doi.org/10.1023/B:VISI.0000029664.99615.94
  15. R.C Arkin, 'Behavior-based Robotics,' MIT Press, 1998
  16. N. Maillot, M. Thonnat, and A. Boucher, 'Towards ontology-based cognitive vision,' Machine Vision and Applications, pp.33-40, 2004