The KDWizard is an adaptive framework for knowledge discovery and provides mechanisms for generating knowledge-discovery applications beginning with end-user specifications of decision objectives and sets of data sources.
The KDWizard initiative focused on designing, developing, and validating an adaptive framework for knowledge discovery. This framework provides mechanisms for generating knowledge-discovery applications beginning with end-user specifications of decision objectives and sets of data sources. This technology also provides users with a larger and more focused selection of decision alternatives and, consequently, aids them in realizing a more efficient and successful decision making process.
An important component in the design of new software systems, both with respect to schedule and cost, is the possible reuse of existing systems and knowledge sources in the new design. In other words, how can the redesign of a system’s ontology—the unique interrelations among the system’s components and entities—most effectively utilize existing systems and sources in meeting the needs that drive the new design? KBSI, leveraging their experience in knowledge based applications, tackled these challenges in a U.S. Navy sponsored project that is seeking automated methods and technologies for rapidly and cost effectively analyzing, redesigning, and reengineering complex systems.
Like any other large-scale industry managing complex engineering projects, NASA and the Department of Defense face the persistent challenge of effectively discovering related information and data among distributed project teams and information sources. The Small Business Innovation Research (SBIR) office addressed this challenge by awarding KBSI a multiple phase SBIR project to design and develop an Ontology Driven Integration Framework (ODIF) that establishes a common ontology for integrating and searching diverse data sources.