A three-layered architecture for event-centric interconnections among heterogeneous data repositories and its application to space weather

Takafumi Nakanishi, Hidenori Homma, Kyoung Sook Kim, Koji Zettsu, Yutaka Kidawara, Yasushi Kiyoki

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

Abstract

Various knowledge resources are spread to a world-wide scope. Unfortunately, most of them are community-based and never thought to be used among different communities. That makes it difficult to gain "connection merits" in a web-scale information space. This paper presents a three-layered system architecture for computing dynamic associations of events to related knowledge resources. The important feature of our system is to realize dynamic interconnection among heterogeneous knowledge resources by event-driven and event-centric computing with resolvers for uncertainties existing among those resources. This system navigates various associated data including heterogeneous data-types and fields depending on user's purpose and standpoint. It also leads to effective use for the sensor data because the sensor data can be interconnected with those knowledge resources. This paper also represents application to the space weather sensor data.

Original languageEnglish
Title of host publicationInformation Modelling and Knowledge Bases XXII
PublisherIOS Press
Pages21-36
Number of pages16
ISBN (Print)9781607506898
DOIs
Publication statusPublished - 2011

Publication series

NameFrontiers in Artificial Intelligence and Applications
Volume225
ISSN (Print)0922-6389

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Keywords

  • Event-centric interconnections
  • heterogeneous data repositories
  • space weather sensor data
  • three-layered architecture
  • uncertainties for interrelationships

ASJC Scopus subject areas

  • Artificial Intelligence

Cite this

Nakanishi, T., Homma, H., Kim, K. S., Zettsu, K., Kidawara, Y., & Kiyoki, Y. (2011). A three-layered architecture for event-centric interconnections among heterogeneous data repositories and its application to space weather. In Information Modelling and Knowledge Bases XXII (pp. 21-36). (Frontiers in Artificial Intelligence and Applications; Vol. 225). IOS Press. https://doi.org/10.3233/978-1-60750-690-4-21