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This paper describes a unique collaborative system based on a knowledge database. First its functional mechanisms, typical usages by users and the merits observed over long-term internal testing are described in detail. Then, the issues to overcome barriers for handling massive and growing volumes of data are discussed, and a novel and promising data handling method that can be used in place of conventional DBMS is presented. Performance evaluations in an actual environment using the proposed method demonstrated drastic improvements.
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