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 publicationProceedings of IEEE Workshop on Advanced Robotics and its Social Impacts, ARSO
Pages104-108
Number of pages5
DOIs
Publication statusPublished - 2009
Event2009 IEEE Workshop on Advanced Robotics and Its Social Impacts, ARSO2009 - Tokyo, Japan
Duration: 2009 Nov 232009 Nov 25

Other

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

Fingerprint

Sensor networks
Semantics
Intelligent buildings
Dynamic models

Keywords

  • Intelligent structures
  • Natural languages
  • Semantic network

ASJC Scopus subject areas

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

Cite this

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

Mundus traducere : Interpretation of natural language using a semantic sensor network. / Chaussin, Antoine; Osawa, Hirotaka; Oomura, Ren; Imai, Michita.

Proceedings of IEEE Workshop on Advanced Robotics and its Social Impacts, ARSO. 2009. p. 104-108 5587065.

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

Chaussin, A, Osawa, H, Oomura, R & Imai, M 2009, Mundus traducere: Interpretation of natural language using a semantic sensor network. in Proceedings of IEEE Workshop on Advanced Robotics and its Social Impacts, ARSO., 5587065, pp. 104-108, 2009 IEEE Workshop on Advanced Robotics and Its Social Impacts, ARSO2009, Tokyo, Japan, 09/11/23. https://doi.org/10.1109/ARSO.2009.5587065
Chaussin A, Osawa H, Oomura R, Imai M. Mundus traducere: Interpretation of natural language using a semantic sensor network. In Proceedings of IEEE Workshop on Advanced Robotics and its Social Impacts, ARSO. 2009. p. 104-108. 5587065 https://doi.org/10.1109/ARSO.2009.5587065
Chaussin, Antoine ; Osawa, Hirotaka ; Oomura, Ren ; Imai, Michita. / Mundus traducere : Interpretation of natural language using a semantic sensor network. Proceedings of IEEE Workshop on Advanced Robotics and its Social Impacts, ARSO. 2009. pp. 104-108
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