A Realtime Associative Computing System for Interactive Information Exchange in a Multi-database Environment
Fuminori Tsunoda, Yasushi Kiyoki · Frontiers in artificial intelligence and applications · 2016
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.