A correlation computing method for integrating passengers and services in semantic anticipation

Motoki Yokoyama; Yasushi Kiyoki; Tetsuya Mita

doi:10.3233/978-1-61499-933-1-435

A correlation computing method for integrating passengers and services in semantic anticipation

Motoki Yokoyama, Yasushi Kiyoki, Tetsuya Mita

Faculty of Environment and Information Studies

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

1 Citation (Scopus)

Abstract

New information-provision focusing on individual passengers is expected in a railway environment. Our method realizes multiple semantic spaces, which are selected according to passenger's contexts. By using correlation metrics for the causal interaction of different semantic spaces, this method anticipates the passenger's needs and generates a ranking of services and facilities. Experimental study confirms that the ranking of passenger requirements for services and facilities would change appropriately in response to the causal interaction of the semantic space. The experimental results show the feasibility and applicability of this method.

Original language	English
Title of host publication	Information Modelling and Knowledge Bases XXX
Editors	Tatiana Endrjukaite, Hannu Jaakkola, Alexander Dudko, Yasushi Kiyoki, Bernhard Thalheim, Naofumi Yoshida
Publisher	IOS Press
Pages	435-448
Number of pages	14
ISBN (Electronic)	9781614999324
DOIs	https://doi.org/10.3233/978-1-61499-933-1-435
Publication status	Published - 2019

Publication series

Name	Frontiers in Artificial Intelligence and Applications
Volume	312
ISSN (Print)	0922-6389

Keywords

Context Awareness
Information Modeling
Information retrieval
Semantic Computing

ASJC Scopus subject areas

Artificial Intelligence

Access to Document

10.3233/978-1-61499-933-1-435

Cite this

Yokoyama, M., Kiyoki, Y., & Mita, T. (2019). A correlation computing method for integrating passengers and services in semantic anticipation. In T. Endrjukaite, H. Jaakkola, A. Dudko, Y. Kiyoki, B. Thalheim, & N. Yoshida (Eds.), Information Modelling and Knowledge Bases XXX (pp. 435-448). (Frontiers in Artificial Intelligence and Applications; Vol. 312). IOS Press. https://doi.org/10.3233/978-1-61499-933-1-435

A correlation computing method for integrating passengers and services in semantic anticipation. / Yokoyama, Motoki; Kiyoki, Yasushi; Mita, Tetsuya.
Information Modelling and Knowledge Bases XXX. ed. / Tatiana Endrjukaite; Hannu Jaakkola; Alexander Dudko; Yasushi Kiyoki; Bernhard Thalheim; Naofumi Yoshida. IOS Press, 2019. p. 435-448 (Frontiers in Artificial Intelligence and Applications; Vol. 312).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Yokoyama, M, Kiyoki, Y & Mita, T 2019, A correlation computing method for integrating passengers and services in semantic anticipation. in T Endrjukaite, H Jaakkola, A Dudko, Y Kiyoki, B Thalheim & N Yoshida (eds), Information Modelling and Knowledge Bases XXX. Frontiers in Artificial Intelligence and Applications, vol. 312, IOS Press, pp. 435-448. https://doi.org/10.3233/978-1-61499-933-1-435

Yokoyama M, Kiyoki Y, Mita T. A correlation computing method for integrating passengers and services in semantic anticipation. In Endrjukaite T, Jaakkola H, Dudko A, Kiyoki Y, Thalheim B, Yoshida N, editors, Information Modelling and Knowledge Bases XXX. IOS Press. 2019. p. 435-448. (Frontiers in Artificial Intelligence and Applications). doi: 10.3233/978-1-61499-933-1-435

Yokoyama, Motoki ; Kiyoki, Yasushi ; Mita, Tetsuya. / A correlation computing method for integrating passengers and services in semantic anticipation. Information Modelling and Knowledge Bases XXX. editor / Tatiana Endrjukaite ; Hannu Jaakkola ; Alexander Dudko ; Yasushi Kiyoki ; Bernhard Thalheim ; Naofumi Yoshida. IOS Press, 2019. pp. 435-448 (Frontiers in Artificial Intelligence and Applications).

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A correlation computing method for integrating passengers and services in semantic anticipation

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