TY - GEN
T1 - A vector space retrieval method with causal relationship computation functions for event data
AU - Zushi, Taizo
AU - Takano, Kosuke
AU - Kiyoki, Yasushi
PY - 2005/12/1
Y1 - 2005/12/1
N2 - In this paper, we propose a vector space retrieval method with causal relationship computation functions for event data. The method is used for the domain in which a query given by a user can be regarded as an event. By expressing an event as a vector, causal relationships between events can be described as numerical values. This feature enables to set a level of importance on a specific event flexibly. The method can be applied to document retrieval with causal relationship computation. We clarify effectiveness of the method by showing several experimental results using synthetic event and document data sets.
AB - In this paper, we propose a vector space retrieval method with causal relationship computation functions for event data. The method is used for the domain in which a query given by a user can be regarded as an event. By expressing an event as a vector, causal relationships between events can be described as numerical values. This feature enables to set a level of importance on a specific event flexibly. The method can be applied to document retrieval with causal relationship computation. We clarify effectiveness of the method by showing several experimental results using synthetic event and document data sets.
UR - http://www.scopus.com/inward/record.url?scp=33947123228&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=33947123228&partnerID=8YFLogxK
M3 - Conference contribution
AN - SCOPUS:33947123228
SN - 0769522637
SN - 9780769522630
T3 - Proceedings - 2005 Symposium on Applications and the Internet Workshops, SAINT2005
SP - 430
EP - 433
BT - Proceedings - 2005 Symposium on Applications and the Internet Workshops, SAINT2005
T2 - 2005 Symposium on Applications and the Internet Workshops, SAINT2005
Y2 - 31 January 2005 through 4 February 2005
ER -