@inproceedings{KameiYanagisawaEtAl07TMR,
title = {Tagging Strategies for Extracting Real-World Events with Networked
Sensors},
address = {New York, USA},
author = {Koji Kamei and Yutaka Yanagisawa and Takuya Maekawa and Yasue Kishino and Yasushi Sakurai and Takeshi Okadome},
booktitle = {{TMR '07:} Proceedings of the 2007 Workshop on Tagging, Mining and
Retrieval of Human Related Activity Information},
pages = {35-42},
publisher = {ACM},
url = {http://dx.doi.org/10.1145/1330588.1330594},
year = {2007},
abstract = {In this paper, we introduce our 's-room' project as well as the tagging
strategies and environment developed for the project. In the s-room,
many small sensor nodes are attached to various objects. Our project
aims to construct a system for comprehending real-world events and
the properties or status information of physical objects by utilizing
sensor nodes distributed throughout the room as well as general knowledge
obtained from web space. The events extracted in the s-room are then
published as web contents. We defined a set of event descriptors
as a middle language between the sensor data stream and natural language
description. The descriptors are selected by a two-way method: 1)
a top-down approach based on definitions in NL-dictionaries and laws
in physics, 2) a bottom-up approach based on manually tagged sensor
data streams. We also developed a tagging environment that enables
us to arrange the relationship between NL phrase expressions of human
activities and multiple sensor events automatically extracted from
the sensor signal streams.},
location = {Nagoya, Japan}, timestamp = {2008.01.25}, file = {ACM Digital Library:2007/KameiYanagisawaEtAl07TMR.pdf:PDF}, isbn = {978-1-59593-870-1}, owner = {flint},
keywords = {acm action ai analysis embedded information language paper recognition sensor temporal v0805 }
}
::