Building Knowledge Around Complex Objects Using Inforbright Data Warehousing Technology
There are considerable challenges in analysing and reporting on word-based data. Infobright data warehousing technology was used to build knowledge around qualitative data that are subject to human interpretation. Infobright was chosen as a system for implementing the data set because its rough set based intelligence appears to be extensible with moderate effort to implement the data warehousing requirements for automatic interpretation of word based data. An example of social sciences research data was used for illustration. InfoBright (IB) is a database server that uses a rough set based data compression method to efficiently process queries on very large databases.