A vector space retrieval method with causal relationship computation functions for event data

Taizo Zushi, Kosuke Takano, Yasushi Kiyoki

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

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.

Original languageEnglish
Title of host publicationProceedings - 2005 Symposium on Applications and the Internet Workshops, SAINT2005
Pages430-433
Number of pages4
Publication statusPublished - 2005 Dec 1
Event2005 Symposium on Applications and the Internet Workshops, SAINT2005 - Trento, Italy
Duration: 2005 Jan 312005 Feb 4

Publication series

NameProceedings - 2005 Symposium on Applications and the Internet Workshops, SAINT2005
Volume2005

Other

Other2005 Symposium on Applications and the Internet Workshops, SAINT2005
CountryItaly
CityTrento
Period05/1/3105/2/4

ASJC Scopus subject areas

  • Engineering(all)

Fingerprint Dive into the research topics of 'A vector space retrieval method with causal relationship computation functions for event data'. Together they form a unique fingerprint.

  • Cite this

    Zushi, T., Takano, K., & Kiyoki, Y. (2005). A vector space retrieval method with causal relationship computation functions for event data. In Proceedings - 2005 Symposium on Applications and the Internet Workshops, SAINT2005 (pp. 430-433). [1620066] (Proceedings - 2005 Symposium on Applications and the Internet Workshops, SAINT2005; Vol. 2005).