Method and apparatus for unsupervised transactions

• US 20020103634A1
• Filed: 01/03/2002
• Published: 08/01/2002
• Est. Priority Date: 01/03/2001
• Status: Abandoned Application

• Current Assignee: 1432794 Ontario Limited
• Original Assignee: 1432794 Ontario Limited
• Inventors: Ogmen, Melih
• Application Number:
  US10/034,204
• Publication Number:
  US 20020103634A1
• Time in Patent Office: Days
• US Class Current: 704/9
• CPC Class Codes: G06F 40/253 Grammatical analysis; Style critique
• CPC Class Codes: G06F 40/289 Phrasal analysis, e.g. finite state techniques or chunking

Abstract

A method performed by a machine comprises obtaining instructions from a user to perform a task; gathering information from a network of machines; processing the information in accordance with the instructions; and reporting the result of the task to the user.

Claims

1. A method of performing a task by a machine comprising the steps of:

a) providing information to said machine as a data structure indicative of meaning and context of said information in a natural language;

b) identifying data structures meeting criteria defined by said task, and;

c) collecting said identified data structures.

2. A method according to claim 1 wherein said identified data structures are further processed on the basis of context indicated in said data structure.

3. A method according to claim 1 wherein said data structure indicates relative importance of said information in said natural language.

4. A method according to claim 1 wherein said data structure includes an indication of role of said information in said natural language.

5. A method according to claim 1 wherein said data structure is applied to a word of a sentence in a natural language and said data structure indicates role and relative importance of said word within said sentence.

6. A method according to claim 5 wherein said role and said importance of said word are indicated by co-ordinates in a matrix and retained in said data structure.

7. A method according to claim 1 wherein said matrix includes an axis indicating tense of said word.

8. An information retrieval system comprising a collection of information organised as data structures indicative of meaning and context of said information in a natural language, an interpretation engine to convert a query in a natural language in to a corresponding data structure and a search engine to identify common data structures in said query and said collection.

9. An information retrieval system according to claim 8 wherein said translation engine includes a translation device to allocate meaning to said query and a contextual function to provide an indication of context within said structure.

10. A system according to claim 9 including a function implementing a decision making algorithm to determine relative correspondence between said common data structures.

11. A system according to claim 10 wherein said function includes a fuzzy logic algorithm.