Unifying data grouping and knowledge grouping through nested relation based knowledge representation

An approach for unifying subject-specific data grouping and knowledge grouping through derived database patterns is proposed. As database patterns can be specified in terms of nested relations, a nested relation based knowledge representation framework is developed to support this approach. The proposed framework is characterized by extending the fundamental notions at set theory level to underlie the notions at LP theory level. As a result, it has strong expressive power of dealing with hierarchically nested tuples and sets and is canonical and analogous to first-order LP framework