A database taxonomy based on data-driven knowledge modeling
Paul Zellweger · 2006
Taking a cue from data mining, the author employs a data model to capture data and its relationships in an RDBMS in order to create a database taxonomy. The combination of this data model and its mapping algorithms transform selected lists of data, or information, into an explicit knowledge representation. End-users view this taxonomy from a client interface that functions like database navigation structure. These advances redefine database access, as we know them, by enabling end-users to browse and explore database content. More importantly, this data-driven knowledge modeling capability lays the foundation for solving other, more challenging data access issues, namely machine-mediated access and database interoperability.