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International Conference on Ubiquitous Intelligence and Computing

UIC 2006: Ubiquitous Intelligence and Computing pp 1124–1133Cite as

Towards a Universal Knowledge Representation Language for Ubiquitous Intelligence Based on Mental Image Directed Semantic Theory

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Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 4159))

Abstract

Towards an ideal ubiquitous computing environment, M.Yokota et al have already presented the concept of Distributed Intelligent Robot Network (DIRN) consisting of one brain node and numerous sensor and actor nodes with human-friendly interfaces. In order for well-coordinated DIRNs, it is essential to develop a formal knowledge representation language such as is universal for any kinds of devices and enlightens them enough to communicate with ordinary people naturally and to compute about and act upon their environments appropriately. For this purpose, the author has developed a formal language L md and been applying it to integrated multimedia understanding and various cross-media operations in simulation of DIRN-world interaction.

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References

  1. Yokota, M.: An approach to natural language understanding based on a mental image model. In: Proc. of the 2nd International Workshop on Natural Language Understanding and Cognitive Science, pp. 22–31 (2005)

    Google Scholar 

  2. Yokota, M., et al.: Mental-image directed semantic theory and its application to natural language understanding systems. In: Proc. of NLPRS 1991, pp. 280–287 (1991)

    Google Scholar 

  3. Sowa, J.F.: Knowledge Representation: Logical, Philosophical, and Computational Foundations. Brooks Cole Publishing Co., Pacific Grove (2000)

    Google Scholar 

  4. Zarri, G.P.: NKRL, a Knowledge Representation Tool for Encoding the ‘Meaning’ of Complex Narrative Texts. Natural Language Engineering - Special Issue on Knowledge Representation for Natural Language Processing in Implemented Systems 3, 231–253 (1997)

    Google Scholar 

  5. Oda, S., Oda, M., Yokota, M.: Conceptual Analysis Description of Words for Color and Lightness for Grounding them on Sensory Data. Trans. of JSAI 16-5-E, 436–444 (2001)

    Google Scholar 

  6. Langacker, R.: Concept, Image and Symbol. Mouton de Gruyter, Berlin/New York (1991)

    Book  Google Scholar 

  7. Miller, G.A., Johnson-Laird, P.N.: Language and Perception. Harvard University Press (1976)

    Google Scholar 

  8. Haenggi, M.: Mobile Sensor-Actuator Networks: Opportunities and Challenges. In: Proc. of 7th IEEE Int. Workshop, Frankfurt, Germany, pp. 283–290 (2002)

    Google Scholar 

  9. Akyildiz, I.F., Kasimoglu, I.H.: Wireless Sensor and Actor Networks: Research Challenges. Ad Hoc Networks 2, 351–367 (2004)

    Article  Google Scholar 

  10. Yokota, M., Capi, G.: Cross-media Operations between Text and Picture Based on Mental Image Directed Semantic Theory. WSEAS Transactions on Information Science and Applications 10(2), 1541–1550 (2005)

    Google Scholar 

  11. Yokota, M., Capi, G.: Integrated Multimedia Understanding for Ubiquitous Intelligence Based on Mental Image Directed Semantic Theory. In: Yang, L.T., Amamiya, M., Liu, Z., Guo, M., Rammig, F.J. (eds.) EUC 2005. LNCS, vol. 3824, pp. 538–546. Springer, Heidelberg (2005)

    Chapter  Google Scholar 

  12. Allen, J.F.: Towards a general theory of action and time. Artificial Intelligence 23(2), 123–154 (1984)

    Article  MATH  Google Scholar 

  13. Shoham, Y.: Time for actions: on the relationship between time, knowledge, and action. In: Proc. of IJCAI 1989, pp. 954–959. Detroit, MI (1989)

    Google Scholar 

  14. Haddawy, P.: A logic of time, chance, and action for repesenting plans. Artificial Intelligence 80(2), 243–308 (1996)

    Article  MathSciNet  Google Scholar 

  15. Wilkins, D.E., Myers, K.L.: A common knowledge representation for plan generation and reactive execution. Journal of Logic and Computation 5(6), 731–761 (1995)

    Article  MATH  Google Scholar 

  16. Kabanza, F.: Synchronizing multiagent plans using temporal logic specifications. In: Proceedings of the First International Conf. on Multi-Agent Systems (ICMAS 1995), pp. 217–224 (1995)

    Google Scholar 

  17. Egenhofer, M.: Point-set topological spatial relations. Geographical Information Systems 5(2), 161–174 (1991)

    Article  Google Scholar 

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Author information

Authors and Affiliations

  1. Department of System Management, Faculty of Information Engineering, Fukuoka Institute of Technology, 3-30-1, Wajiro-higashi, Higashi-ku, Fukuoka-shi, 811-0295, Japan

    Masao Yokota

Authors
  1. Masao Yokota
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Editor information

Editors and Affiliations

  1. Hosei University, 184-8584, Tokyo, Japan

    Jianhua Ma

  2. Services Computing Technology and System Lab Cluster and Grid Computing Lab School of Computer Science and Technology, Huazhong University of Science and Technology, 430074, Wuhan, China

    Hai Jin

  3. Department of Computer Science, St. Francis Xavier University, Antigonish, Canada

    Laurence T. Yang

  4. Department of Biotechnology and Bioinformatics, Asia University, No. 500, Lioufeng Road, Wufeng Shiang, 413, Taichung, Taiwan

    Jeffrey J.-P. Tsai

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© 2006 Springer-Verlag Berlin Heidelberg

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Yokota, M. (2006). Towards a Universal Knowledge Representation Language for Ubiquitous Intelligence Based on Mental Image Directed Semantic Theory. In: Ma, J., Jin, H., Yang, L.T., Tsai, J.JP. (eds) Ubiquitous Intelligence and Computing. UIC 2006. Lecture Notes in Computer Science, vol 4159. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11833529_113

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  • DOI: https://doi.org/10.1007/11833529_113

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-38091-7

  • Online ISBN: 978-3-540-38092-4

  • eBook Packages: Computer ScienceComputer Science (R0)

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