Diversified semantic mapping engine (DSME)

• US 20070265824A1
• Filed: 05/04/2007
• Published: 11/15/2007
• Est. Priority Date: 05/15/2006
• Status: Abandoned Application

• Current Assignee: Michel David Paradis
• Original Assignee: Michel David Paradis
• Inventors: Paradis, Michel David
• Application Number:
  US11/800,077
• Publication Number:
  US 20070265824A1
• Time in Patent Office: Days
• US Class Current: 704/1
• CPC Class Codes: G06F 40/20 Natural language analysis semantic analysis of natural language G06F40/30

Abstract

The Diversified Semantic Mapping Engine (DSME) exploits user-defined word and document class designations to differentially formalize the semantic content of a language source. The coordination of these classes, especially when based upon naturally occurring classes in the language, such as part-of-speech, provides a rich, machine readable and automatically generated semantic map of the language source for use in diverse applications.

Claims

1. A semantic formalization method consisting of a:

a data source consisting of some body of text or otherwise machine readable language source

the differentiated formalization of that data source through distributing the representation of its content into a coordinated sets of arbitrary, user-defined, classes

2. The system of claim 1, further comprising:

the input by a user of some machine readable language source

the differentiated formalization of that user input as described in claim 1

the graphical representation of the user input as formalized into a differentiated semantic map

3. The system of claim 1, further comprising:

the input by a user of some machine readable language source

the differentiated formalization of that user input as described in claim 1

the coordination of that differentiated formalization with the differentiated formalization of other data sources

4. The system of claim 1, specifically implemented by:

defining the arbitrary classes to part-of-speech, so that nouns, verbs, etc. form unique semantic dimensions

5. The system of claim 3, further comprising:

the exploitation of coordinated differentiated formalizations in measuring the semantic content of data sources

6. The system of claim 5, further comprising:

the application of those measurements to enhance document retrieval and information extraction

7. The system of claim 5, further comprising:

the application of those measurements to the detect the semantic signatures unique to authors

8. The system of claim 5, further comprising:

the application of those measurements to encrypting and decrypting text

9. The system of claim 5, further comprising:

the application of those measurements to automatic test scoring