Abstract: A systematic method for detecting meta-ideas used to expanding a skeletal structure. The folder label for each individual first level skeletal folder is placed in a separate collection, and predefined noise words are removed therefrom. A table is tabulated for each collection counting the single word frequency of each word. Words whose frequency falls below a predetermined threshold are removed from the each frequency table. A combined frequency table is created by joining the individual frequency tables wherein meta-ideas are extrapolated from the results of the combined frequency table.

Abstract: The present invention discloses building blocks necessary for creating a self-populating directory in which individual paragraphs are mapped to folders, each folder being associated with a specific concept or idea. Criterion for specifying a desired context for the associated concept is inherited by hierarchically subordinate files. The inheritance of context criterion greatly simplifies the task of designing a self-populating directory. Also disclosed are routines for optimizing the level of recall and precision of the criterion used to populate the folder.

Abstract: A systematic method for detecting meta-ideas used to expanding a skeletal structure. The folder label for each individual first level skeletal folder is placed in a separate collection, and predefined noise words are removed therefrom. A table is tabulated for each collection counting the single word frequency of each word. Words whose frequency falls below a predetermined threshold are removed from the each frequency table. A combined frequency table is created by joining the individual frequency tables wherein meta-ideas are extrapolated from the results of the combined frequency table.