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
EditorsTatjana Welzer, Hannu Jaakkola, Bernhard Thalheim, Yasushi Kiyoki, Naofumi Yoshida, Brenda K. Wiederhold, Giuseppe Riva, Mark D. Wiederhold
PublisherIOS Press BV
Pages178-187
Number of pages10
ISBN (Electronic)9781614996101
DOIs
Publication statusPublished - 2016

Publication series

NameFrontiers in Artificial Intelligence and Applications
Volume280
ISSN (Print)0922-6389
ISSN (Electronic)1879-8314

Keywords

  • Feedback System
  • Multidatabase
  • Optimization
  • Train Control

ASJC Scopus subject areas

  • Artificial Intelligence

Fingerprint

Dive into the research topics of 'A Realtime Associative Computing System for Interactive Information Exchange in a Multi-database Environment'. Together they form a unique fingerprint.

Cite this