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 | Proceedings of IEEE Workshop on Advanced Robotics and its Social Impacts, ARSO |
| Pages | 104-108 |
| Number of pages | 5 |
| DOIs | |
| Publication status | Published - 2009 |
| Event | 2009 IEEE Workshop on Advanced Robotics and Its Social Impacts, ARSO2009 - Tokyo, Japan Duration: 2009 Nov 23 → 2009 Nov 25 |
Other
| Other | 2009 IEEE Workshop on Advanced Robotics and Its Social Impacts, ARSO2009 |
|---|---|
| Country | Japan |
| City | Tokyo |
| Period | 09/11/23 → 09/11/25 |
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Keywords
- Intelligent structures
- Natural languages
- Semantic network
ASJC Scopus subject areas
- Artificial Intelligence
- Computer Science Applications
- Computer Vision and Pattern Recognition
Cite this
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 proceeding › Conference contribution
}
TY - GEN
T1 - Mundus traducere
T2 - Interpretation of natural language using a semantic sensor network
AU - Chaussin, Antoine
AU - Osawa, Hirotaka
AU - Oomura, Ren
AU - Imai, Michita
PY - 2009
Y1 - 2009
N2 - 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.
AB - 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.
KW - Intelligent structures
KW - Natural languages
KW - Semantic network
UR - http://www.scopus.com/inward/record.url?scp=84869986596&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84869986596&partnerID=8YFLogxK
U2 - 10.1109/ARSO.2009.5587065
DO - 10.1109/ARSO.2009.5587065
M3 - Conference contribution
AN - SCOPUS:84869986596
SN - 9781424443949
SP - 104
EP - 108
BT - Proceedings of IEEE Workshop on Advanced Robotics and its Social Impacts, ARSO
ER -