Mundus traducere: Interpretation of natural language using a semantic sensor network

Antoine Chaussin, Hirotaka Osawa, Ren Oomura, Michita Imai

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Understanding natural language utterances cannot be done by studying only language. Models of the real world are also needed. Those models are usually built around semantic data. As sensor networks allow us to get information about the physical world, we wanted to add said information to the models used to interprete natural language. Adding that kind of physical data to world models will lead to dynamic model that can be deployed in everyday life systems like smart houses. This paper will focus on the theory needed to implement such physical data to semantic data and will present an implementation of previously mentionned theory called Mundus Traducere. This implementation is a Java program that generates formal expressions based on natural language utterances, linking real world objects with their language counter parts. The implementation is not regarded as a stand alone application but as a tool for implementing more complex interfaces.

Original languageEnglish
Title of host publication2009 IEEE Workshop on Advanced Robotics and Its Social Impacts, ARSO2009 - Workshop Proceedings
Pages104-108
Number of pages5
DOIs
Publication statusPublished - 2009 Dec 1
Event2009 IEEE Workshop on Advanced Robotics and Its Social Impacts, ARSO2009 - Tokyo, Japan
Duration: 2009 Nov 232009 Nov 25

Publication series

NameProceedings of IEEE Workshop on Advanced Robotics and its Social Impacts, ARSO
ISSN (Print)2162-7568
ISSN (Electronic)2162-7576

Other

Other2009 IEEE Workshop on Advanced Robotics and Its Social Impacts, ARSO2009
CountryJapan
CityTokyo
Period09/11/2309/11/25

Keywords

  • Intelligent structures
  • Natural languages
  • Semantic network

ASJC Scopus subject areas

  • Artificial Intelligence
  • Computer Science Applications
  • Computer Vision and Pattern Recognition

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  • Cite this

    Chaussin, A., Osawa, H., Oomura, R., & Imai, M. (2009). Mundus traducere: Interpretation of natural language using a semantic sensor network. In 2009 IEEE Workshop on Advanced Robotics and Its Social Impacts, ARSO2009 - Workshop Proceedings (pp. 104-108). [5587065] (Proceedings of IEEE Workshop on Advanced Robotics and its Social Impacts, ARSO). https://doi.org/10.1109/ARSO.2009.5587065