Representation of technical content using object-oriented abstraction of meaning

• US 6,658,428 B2
• Filed: 05/13/2002
• Issued: 12/02/2003
• Est. Priority Date: 07/08/1999
• Status: Expired due to Fees

• Current Assignee: Waypoint Global II Incorporated
• Original Assignee: Cohesia Corp. (Powerway, Inc.)
• Inventors: Sokol, Dan Z., Dashevsky, Oleg V., Berkovich, Igor K.
• Primary Examiner(s): Corrielus, Jean M.
• Application Number:
  US10/144,104
• Publication Number:
  US 20030014424A1
• Time in Patent Office: 568 Days
• Field of Search: 707/10, 707/3, 707/5, 707/103
• US Class Current: 1/1
• CPC Class Codes: G06F 40/258 Heading extraction; Automatic titling; Numbering
• CPC Class Codes: G06F 40/289 Phrasal analysis, e.g. finite state techniques or chunking
• CPC Class Codes: G06F 40/35 Discourse or dialogue representation
• CPC Class Codes: G06F 40/56 Natural language generation
• CPC Class Codes: G06Q 10/087 Inventory or stock management, e.g. order filling, procurement or balancing against orders
• CPC Class Codes: G06Q 10/10 Office automation; Time management
• CPC Class Codes: Y10S 707/917 Text
• CPC Class Codes: Y10S 707/955 Object-oriented
• CPC Class Codes: Y10S 707/962 Entity-attribute-value
• CPC Class Codes: Y10S 707/967 Peer-to-peer
• CPC Class Codes: Y10S 707/99933 Query processing, i.e. searching
• CPC Class Codes: Y10S 707/99935 Query augmenting and refining, e.g. inexact access
• CPC Class Codes: Y10S 707/99943 Generating database or data structure, e.g. via user interface
• CPC Class Codes: Y10S 707/99944 Object-oriented database structure

Abstract

An object-based, semantic representation for documents as information containers, using a controlled taxonomy, facilitates the extraction of meaning from such information containers to provide high-level, automated document interpretation. The high-level functions that are enabled include automated filtering of an information container in accordance with the controlled taxonomy and a set of conditions, to produce a result having only those information objects that are applicable under the specified set of conditions. These functions further include automated combination of information objects which comprise the information containers, to build a composite information container that reflects combined meaning of the associated documents, and automated handling of references from one information container to another.

Claims

1. A method of storing a semantic representation of a machine, a manufacture, a composition of matter, a process, a system or a methodology, using a controlled taxonomy, comprising

storing in a memory, a plurality of information objects,

at least a first one of said information objects identifying (i) an attribute, and (ii) a value or value range or description for said attribute, without reference to the machine, manufacture, composition of matter, process, system or methodology to which the attribute relates,

at least a second one of said information objects being a meaning object defining a meaning for said first information object relating to a machine, manufacture, composition of matter, process, system or methodology to which said attribute relates, said first information object including a pointer to said meaning object.

2. The method of claim 1 wherein each of said objects include properties characterizing the object and/or an attribute represented by the object.

3. The method of claim 2 wherein each of said objects are a member of an object class, objects in a common class having common properties.

4. The method of claim 2 wherein properties of said parent object include a pointer of said child object.

5. The method of claim 1 further comprising a third information object comprising an implication object identifying conditional characterizations of one or more properties, said first information object being a child of said implication object defining a condition for said conditional characterizations identifying circumstances under which said implication object provides relevant information about said properties based upon attribute values of said first information object.

6. The method of claim 5 further comprising a fourth information object comprising a THEN child of said implication object, said THEN child providing characterizations of one or more properties when said condition is met.

7. The method of claim 5 further comprising a fourth information object comprising an ELSE child of said implication object, said ELSE child providing characterizations of one or more properties when said condition is not met.

8. The method of claim 5 wherein said first information object defines a range, and further comprising fourth and fifth information objects comprising endpoint objects defining endpoints of said range.

9. The method of claim 5 wherein said first information object defines a value for an attribute.

10. The method of claim 9 wherein the value defined by said first information object is a predefined text value.

11. The method of claim 9 wherein the value defined by said first information object is a predefined text value.

12. The method of claim 5 wherein said first information object has an object operator property defining an operator to be applied to said value.

13. The method of claim 12 wherein said object operator is on of:

equal(=),

not equal (≠

),

greater than (>

)

grater than or equal (≧

)

less than (<

), or

less than or equal (≦

).

14. The method of claim 5 wherein said first information object defines a group of conditions, and further comprising child objects of said first information object defining each of said conditions.

15. The method of claim 14 wherein said first information object has a child logic property indicating a logical relationship between said conditions that must be met for the condition to be met.

16. The method of claim 1 wherein said information objects are formatted in accordance with a computer based markup language.

17. The method of claim 16 wherein said information objects are formatted in accordance with Extensible Markup Language and incorporate an XML document type definition (DTD).

18. The method of claim 1 wherein said meaning object defines possible values for a controlled term that is an attribute of said first information object.

19. The method of claim 1 wherein said meaning object defines a type of a part or product.

20. The method of claim 19 further comprising comparing attributes of a part or product to values, value ranges or descriptions in said information objects.

21. The method of claim 1 wherein said meaning object defines a practice or procedure.

22. The method of claim 1 wherein said meaning object defines an agreement.

23. The method of claim 1 wherein said meaning object defines research data.

24. The method of claim 1 wherein said meaning object defines technical information relevant to business or legal analysis.

25. Apparatus for storing a semantic representation of a machine, a manufacture, a composition of matter, a process, a system or a methodology, using a controlled taxonomy, comprising

storage containing a plurality of information objects,

at least a first one of said information objects identifying (i) an attribute and (ii) a value or value range or description for said attribute, without reference to the machine, manufacture, composition of matter, process, system or methodology to which the attribute relates,

at least a second one of said information objects being a meaning object defining a meaning for said first information object relating to a machine, manufacture, composition of matter, process, system or methodology to which said attribute relates, said first information object including a pointer to said meaning object.

26. The apparatus of claim 25 wherein said meaning object defines a type of a part or product.

27. The apparatus of claim 26 further comprising a processor comparing attributes of a part or product to values, value ranges or descriptions in said information objects.