BUILDING OF HUMAN ACTIVITY CORRELATION MAP FROM WEBLOGS

Takahiro Kawamura, Nguyen Minh The, Akihiko Ohsuga

2009

Abstract

Recently, context-dependent recommendation services for smart phone users have been publicly available, which provide any of useful information related to the users’ current situation. These services are based on a technique called Human Activity Mining. However, a method collecting every event all the day, which is seen in some projects on ubiquitous computing has some problems. Therefore, this paper proposes an approach to build human Activity Correlation Map using ontologies from users’ behavior logs on weblogs. Then, we show its efficiency through a preliminary evaluation.

References

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Paper Citation


in Harvard Style

Kawamura T., Minh The N. and Ohsuga A. (2009). BUILDING OF HUMAN ACTIVITY CORRELATION MAP FROM WEBLOGS . In Proceedings of the 4th International Conference on Software and Data Technologies - Volume 2: ICSOFT, ISBN 978-989-674-010-8, pages 346-352. DOI: 10.5220/0002241203460352


in Bibtex Style

@conference{icsoft09,
author={Takahiro Kawamura and Nguyen Minh The and Akihiko Ohsuga},
title={BUILDING OF HUMAN ACTIVITY CORRELATION MAP FROM WEBLOGS},
booktitle={Proceedings of the 4th International Conference on Software and Data Technologies - Volume 2: ICSOFT,},
year={2009},
pages={346-352},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0002241203460352},
isbn={978-989-674-010-8},
}


in EndNote Style

TY - CONF
JO - Proceedings of the 4th International Conference on Software and Data Technologies - Volume 2: ICSOFT,
TI - BUILDING OF HUMAN ACTIVITY CORRELATION MAP FROM WEBLOGS
SN - 978-989-674-010-8
AU - Kawamura T.
AU - Minh The N.
AU - Ohsuga A.
PY - 2009
SP - 346
EP - 352
DO - 10.5220/0002241203460352