Methodology for constructing and optimizing a self-populating directory

• US 20030041072A1
• Filed: 08/27/2002
• Published: 02/27/2003
• Est. Priority Date: 08/27/2001
• Status: Abandoned Application

• Current Assignee: E-Base Limited
• Original Assignee: E-Base Limited
• Inventors: Segal, Irit Haviv, Winer, Amir
• Application Number:
  US10/229,752
• Publication Number:
  US 20030041072A1
• Time in Patent Office: Days
• US Class Current: 707/104.1
• CPC Class Codes: G06F 16/30 of unstructured textual data document management systems G06F16/93
• CPC Class Codes: G06F 16/313 Selection or weighting of terms for indexing
• CPC Class Codes: G06F 16/353 into predefined classes

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.

Claims

1. A systematic method for creating framework folders used to expanding a skeletal structure, comprising the steps of:

collect the folder label for each individual first level skeletal folder and the folder labels of all hierarchically subordinate skeletal folders into separate collections;

remove predefined noise words from each collection of folder labels;

tabulate a separate frequency table for each collection, counting the single word frequency of each word a given collection of folder labels;

remove words from each frequency table whose frequency falls below a predetermined threshold;

combine the individual frequency tables into a combined frequency table;

output the results of the combined frequency table, wherein a directory editor extrapolates concepts from the results of the combined frequency table and creates a new framework folder for each extrapolated concept.

2. A method for optimizing a framework structure, comprising the steps of:

append an unmatched folder to the framework structure;

map a collection of paragraphs to the framework structure;

compile a frequency table of one, two, three and four words combinations from the paragraphs mapped to the unmatched folder;

remove noise combinations from the frequency table; and

output the results of the combined frequency table, wherein a directory editor does one of;

extrapolates concepts from the results of the frequency table and creates a new framework folder for each extrapolated concept; and

optimizes the framework folder definition(s) to detect the concept conveyed in the paragraphs mapped to the unmatched folder.

3. A method for systematically expanding a skeletal structure:

creating a framework structure from the folder labels of the skeletal structure; and

appending a copy of the framework structure to each skeletal end folder.

4. The method according to claim 3 further comprising the steps of:

mapping a collection of paragraphs to the expanded skeletal structure;

tabulating a number of paragraphs mapped to each end-folder of the expanded skeletal structure; and

deleting a selected end-folder if the number of paragraphs mapped to the selected end-folder is below a predetermined threshold.

5. The method according to claim 4 further comprising the steps of:

mapping a collection of paragraphs to the expanded skeletal structure;

tabulating a number of paragraphs mapped to each end-folder of the expanded skeletal structure;

flagging a selected end-folder if the number of paragraphs mapped to the selected end-folder is above a predetermined threshold;

copy the folder label of each flagged end-folder and redact the copied folder label to remove noise words;

for each of the paragraphs mapped to a flagged end-folder, extract sentences which contain the redacted folder label;

tabulate a frequency table one, two, three and four word combinations that re-occur in the extracted sentences;

remove predefined noise combinations from the frequency table

retain a predetermined number of the most highest frequency word combinations; and

create an expansion folder for each retained word combination.

6. A method for optimizing a skeletal directory structure, comprising:

append an unmatched folder to the skeletal structure;

map a collection of paragraphs to the skeletal structure;

compile a frequency table of one, two, three and four words combinations from the paragraphs mapped to the unmatched folder;

remove noise combinations from the frequency table; and

output the results of the combined frequency table, wherein a directory editor extrapolates concepts from the results of the frequency table, if the extrapolated concept does not correspond to the label of an existing folder then create a new framework folder for the extrapolated concept(s), otherwise the directory editor optimizes the framework folder definition(s) to detect paragraphs mapped to the unmatched folder.

7. A method for compiling word combinations indicative of concepts for inclusion in a framework structure from the folder labels of a skeletal strcuture:

collect the folder label for each individual first level skeletal folder and the folder labels of all hierarchically subordinate skeletal folders into separate collections;

remove predefined noise words from each collection of folder labels;

tabulate a separate frequency table for each collection, counting the single word frequency of each word a given collection of folder labels;

remove words from each frequency table whose frequency falls below a predetermined threshold; and

combine the individual frequency tables into a combined frequency table; and

output the results of the combined frequency table, wherein the combinations in the combined frequency table are indicative of concepts which should be included within the framework structure.