A Realtime Associative Computing System for Interactive Information Exchange in a Multi-database Environment

Fuminori Tsunoda, Yasushi Kiyoki

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

1 Citation (Scopus)

Abstract

A multi-database environment is commonly important for creating new values by integrating heterogeneous data resources. We have designed a realtime association computing system for interactive information exchange among multi-databases. The metadatabase system organized to measure a relationship of interactive data and define a feedback control output to a system. In this paper, we present the applicability of this method to a multidatabase on railway information. We show several experimental results which have been obtained by associative computing for two different databases as a multidatabase environment. By those results, we clarify the effectiveness of the associative computing method in the actual multi-databases.

Original languageEnglish
Title of host publicationInformation Modelling and Knowledge Bases XXVII
PublisherIOS Press
Pages178-187
Number of pages10
Volume280
ISBN (Print)9781614996101
DOIs
Publication statusPublished - 2016

Publication series

NameFrontiers in Artificial Intelligence and Applications
Volume280
ISSN (Print)09226389

Keywords

  • Feedback System
  • Multidatabase
  • Optimization
  • Train Control

ASJC Scopus subject areas

  • Artificial Intelligence

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    Tsunoda, F., & Kiyoki, Y. (2016). A Realtime Associative Computing System for Interactive Information Exchange in a Multi-database Environment. In Information Modelling and Knowledge Bases XXVII (Vol. 280, pp. 178-187). (Frontiers in Artificial Intelligence and Applications; Vol. 280). IOS Press. https://doi.org/10.3233/978-1-61499-611-8-178