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

Antoine Chaussin; Hirotaka Osawa; Ren Oomura; Michita Imai

doi:10.1109/ARSO.2009.5587065

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

Antoine Chaussin, Hirotaka Osawa, Ren Oomura, Michita Imai

Department of Information and Computer Science

Research output: Chapter in Book/Report/Conference proceeding › Conference 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 language	English
Title of host publication	2009 IEEE Workshop on Advanced Robotics and Its Social Impacts, ARSO2009 - Workshop Proceedings
Pages	104-108
Number of pages	5
DOIs	https://doi.org/10.1109/ARSO.2009.5587065
Publication status	Published - 2009 Dec 1
Event	2009 IEEE Workshop on Advanced Robotics and Its Social Impacts, ARSO2009 - Tokyo, Japan Duration: 2009 Nov 23 → 2009 Nov 25

Publication series

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

Other

Other	2009 IEEE Workshop on Advanced Robotics and Its Social Impacts, ARSO2009
Country	Japan
City	Tokyo
Period	09/11/23 → 09/11/25

Keywords

Intelligent structures
Natural languages
Semantic network

ASJC Scopus subject areas

Artificial Intelligence
Computer Science Applications
Computer Vision and Pattern Recognition

Access to Document

10.1109/ARSO.2009.5587065

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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

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

2009 IEEE Workshop on Advanced Robotics and Its Social Impacts, ARSO2009 - Workshop Proceedings. 2009. p. 104-108 5587065 (Proceedings of IEEE Workshop on Advanced Robotics and its Social Impacts, ARSO).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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., 5587065, Proceedings of IEEE Workshop on Advanced Robotics and its Social Impacts, ARSO, 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 2009 IEEE Workshop on Advanced Robotics and Its Social Impacts, ARSO2009 - Workshop Proceedings. 2009. p. 104-108. 5587065. (Proceedings of IEEE Workshop on Advanced Robotics and its Social Impacts, ARSO). https://doi.org/10.1109/ARSO.2009.5587065

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