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

Motoki Yokoyama, Yasushi Kiyoki, Tetsuya Mita

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

Abstract

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.

Original languageEnglish
Title of host publicationInformation Modelling and Knowledge Bases XXXII
EditorsMarina Tropmann-Frick, Bernhard Thalheim, Hannu Jaakkola, Yasushi Kiyoki, Naofumi Yoshida
PublisherIOS Press BV
Pages196-212
Number of pages17
ISBN (Electronic)9781643681405
DOIs
Publication statusPublished - 2020 Dec 16
Event30th International conference on Information Modeling and Knowledge Bases, EJC 2020 - Virtual, Online, Germany
Duration: 2020 Jun 82020 Jun 9

Publication series

NameFrontiers in Artificial Intelligence and Applications
Volume333
ISSN (Print)0922-6389

Conference

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

Keywords

  • Context Awareness
  • Cyber-Physical System
  • Data Modeling
  • Information Retrieval
  • Semantic Computing

ASJC Scopus subject areas

  • Artificial Intelligence

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