Information Modelling and Knowledge Bases (IOS Press), 8 345-360, May, 1996 Peer-reviewed
In this paper, we present a learning mechanism for adjusting retrieval results according to the individual variation and obtaining appropriate retrieval results.
In this paper, we present a metadatabase system which realizes the semantic associative search for images by giving keywords representing the user's impression and the image's contents.
In this paper, we present a metadatabase system which realizes the semantic associative search for images by giving keywords representing the user's impression and the image's contents.
Journal of Integrated-Computer-Aided-Engineering, 2(1) 3-20, Jan, 1995 Peer-reviewed
In this paper, we propose a fundamental framework for realizing semantic interoperability at the level of semantic relationships between data items in a multidatabase environment. We present a metadatabase system which extracts the significant information from different databases.
In this paper, we present a metadatabase system which realizes the semantic associative search for images by giving keywords representing the user's impression and the image's contents.
Information Modelling and Knowledge Bases III: Foundations, Theory and Applications, IOS Press, 8(704) 316-332, 1992 Peer-reviewed
In the paper, we extend our proposed resource allocation method to flexibly adapt the resources to parallel processing environments. To clarify effectiveness of the extended method, several actual queries have been executed by using the parallel processing system, and the execution times of queries were measured at the actual CPU time with the system call time for disk I/O processing on the multiprocessor.