webbanner infodatamodeling Information Data Modeling

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Data mining helps users uncover useful information in their data, and modeling methods allow users to create graphic models of their enterprise data standards--standards they can then apply to other data specifications. The models provide a way for users to quickly and easily add detail to designs--business rules, relationships between information elements and system logic--and to experiment with and analyze the designs for completeness and consistency.


KBSI has extensive experience in data modeling methods (NIAM, ER, IDEF1 IDEF1X, FIPS 184), software tools for information and data modeling (SMARTER®), ontology capture methods (IDEF5), ontology capture and browsing software (MODELMOSAIC®), process knowledge capture methods (IDEF3), and process knowledge interchange methods (PSL).  KBSI’s President, Dr. Richard Mayer, was lead engineer for the development of the information and data modeling methods IDEF1 and IDEF1X at Wright Patterson Air Force Base.  IDEF1X is based on entity-relationship modeling principles and is known in the DoD as Federal Information Processing Standards (FIPS) 184, the federal standard for relational database modeling.

Our research experience in data modeling methods and standards and in the related areas of data mining, data warehousing, and software agents and agent communication languages has helped our clients find tailored solutions for their data and information projects and designs in a number of funded initiatives.