Refining classification results based on glossary relationships

A system, comprising:

• a memory unit for storing a computer program for classifying a data collection of data of a predefined domain, wherein the data collection comprises a collection of one or more data sets comprising data items, wherein the one or more data sets comprise one or more tables or files represented by a database or a directory;
• and
• a processor coupled to the memory unit, wherein the processor is configured to execute program instructions of the computer program comprising:
• providing a hierarchical representation scheme describing terms of the domain and one or more relationships between the terms;
• applying at least one classifier on the data collection, resulting in a set of term assignments, each term assignment of the term assignments associating a term candidate with a respective confidence value to the collection or to one or more of the data items of the collection, wherein each term assignment of the term assignments is structured in a form of a tuple that indicates data of the data collection that is processed or classified, a classifier being applied, the term candidate assigned to the data processed or classified and the associated confidence value;
• and
• refining at least one of the term assignments based on the representation scheme and the set of term assignments.