Application of a heterogeneous correlation integration method to a context cube network semantic model for railway passengers

Motoki Yokoyama, Yasushi Kiyoki, Tetsuya Mita

研究成果: Conference contribution

抄録

In recent years, with the development of information technology, many cyber-physical systems, in which real space and the information space are linked for data acquisition and analysis, have been constructed. The purpose of constructing a cyber-physical system is to solve and improve social and environmental problems. An important target is the railway space, which aims to provide safe and stable transportation services as part of the social infrastructure. In this paper, we propose a new data model, the "Context Cube Semantic Network", for the railway space and a metric method that employs an integrated scale based on heterogeneous correlations of purpose, sensibility, and distance for the railway space. Furthermore, we constructed a station guidance system that implements the proposed method and evaluates subjects at the station. As a result, we clarified the effectiveness and applicability of the system.

本文言語English
ホスト出版物のタイトルInformation Modelling and Knowledge Bases XXXII
編集者Marina Tropmann-Frick, Bernhard Thalheim, Hannu Jaakkola, Yasushi Kiyoki, Naofumi Yoshida
出版社IOS Press BV
ページ196-212
ページ数17
ISBN(電子版)9781643681405
DOI
出版ステータスPublished - 2020 12 16
イベント30th International conference on Information Modeling and Knowledge Bases, EJC 2020 - Virtual, Online, Germany
継続期間: 2020 6 82020 6 9

出版物シリーズ

名前Frontiers in Artificial Intelligence and Applications
333
ISSN(印刷版)0922-6389

Conference

Conference30th International conference on Information Modeling and Knowledge Bases, EJC 2020
国/地域Germany
CityVirtual, Online
Period20/6/820/6/9

ASJC Scopus subject areas

  • 人工知能

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