Trainable, extensible, automated data-to-knowledge translator

• US 7,096,210 B1
• Filed: 03/10/2000
• Issued: 08/22/2006
• Est. Priority Date: 03/10/2000
• Status: Expired due to Term

• Current Assignee: Honeywell International Inc.
• Original Assignee: Honeywell International Inc.
• Inventors: Gaetjens, Steven C., Kramer, Kevin M., Voges, Harold C.
• Primary Examiner(s): Hirl, Joseph P.
• Application Number:
  US09/522,483
• Time in Patent Office: 2,356 Days
• Field of Search: 706/45, 706/11, 706/12, 705/2
• US Class Current: 706/45
• CPC Class Codes: G06N 5/025 Extracting rules from data

Abstract

A trainable, extensible, automated data-to-knowledge translator is described. One aspects of the present invention includes a computerized system having at least one repository to store user-specified rules that govern the processing of data by the computerized system and at least one processing module to process data according to the rules and to generate knowledge from the data. Another aspect of the present invention is a computerized method of translating data to knowledge. The computerized method includes providing user-specified rules to govern the behavior of a computerized system for translating data to knowledge, and processing data according to the rules to generate knowledge. A further aspect of the present invention is a computer readable medium having computer-executable instructions stored thereon for executing a method of translating data to knowledge. The computerized method comprises receiving data in an unstructured form, converting the data to a neutral form, processing data according to user-specified rules to translate the data from the neutral form to knowledge, and exporting the knowledge to a knowledge repository.

Claims

1. A computerized system comprising:

at least one repository to store user-specified rules that govern the processing of data by the computerized system;

an import filter to receive source data and to generates, based on the user-specified rules, neutral data, wherein the import filter supports a variety of source data formats;

at least one processing module to process the neutral data according to the user-specified rules and to generate knowledge from the neutral data; and

a user interface to allow a user to create, modify, and delete the user-specified rules.

2. The computerized system of claim 1 further comprising a system executive to control the at least one repository and the at least one processing module.

3. The computerized system of claim 1 wherein the at least one processing module is a text extraction module.

4. The computerized system of claim 1 wherein the at least one processing module is a packet export module.

5. The computerized system of claim 1, wherein the import filter is to convert data into a neutral format.

6. The computerized system of claim 1 further comprising an export module to export the knowledge into a knowledge repository.

7. The computerized system of claim 1, wherein the at least one processing module is generate a child packet from the at least one packet, the at least one processing module to assign a context stored in the at least one context field of the at least one packet to an at least one context field of the child packet.

8. A computerized system comprising:

at least one repository to store user-specified rules that govern the processing of data by the computerized system;

an import filter to receive source data and to generate at least one packet based on import filter rules of the user-specified rules, wherein the at least one packet comprises at least one context field that augments content meaning of the data, and wherein the import filter can support a variety of source data formats; and

at least one processing module to process data in the at least one packet according to packet construction rules of the user-specified rules and to generate knowledge from the data in the at least one packet.

9. The computerized system of claim 8 further comprising a system executive to control the at least one repository and the at least one processing module.

10. The computerized system of claim 8, wherein the at least one processing module is configured to generate packets having a neutral data format based on the packet construction rules.

11. The computerized system of claim 8, wherein the data is a hierarchically structured data and wherein a packet construction rule of the packet construction rules is associated with a node of a data hierarchy for the hierarchically structured data.

12. A computerized system comprising:

at least one repository to store user-specified rules that govern the processing of data by the computerized system;

a filter to receive source data and to convert the source data into a neutral form and to store the converted data into at least one packet based on packet construction rules of the user-specified rules, wherein the filter can support a variety of source data formats; and

at least one processing module to process data in the at least one packet according to text extraction rules of the user-specified rules and to generate knowledge from the data.

13. The computerized system of claim 12, wherein the data is an input text and wherein the at least one processing module is to identify user-specified text entities within the input text based on the text extraction rules.

14. The computerized system of claim 13, wherein the at least one processing module is to format the identified user-specified text entities based on the text extraction rules.

15. The computerized system of claim 12 further comprising a system executive to control the at least one repository and the at least one processing module.

16. A computerized system comprising:

at least one repository to store user-specified rules that govern the processing of data by the computerized system; and

an import filter to receive source data and to generate at least one packet based on Packet construction rules of the user-specified rules, wherein the at least one packet comprises at least one content field for storage of the source data and at least one context field that augments content meaning of the data, and wherein the import filter can support a variety of source data formats;

at least one processing module to process data in the at least one packet according to packet export rules of the user-specified rules and to generate knowledge from the data in the at least one packet.

17. The computerized system of claim 16 further comprising a system executive to control the at least one repository and the at least one processing module.

18. The computerized system of claim 16, wherein the at least one processing module is configured to map content of a packet to a field of a database table based on the packet export rules.

19. The computerized system of claim 16, wherein the at least one processing module is configured to map context of a packet to a field of a database table based on the packet export rules.

20. A computerized system comprising:

at least one repository to store user-specified rules that govern the processing of data by the computerized system;

an import filter to receive source data and to generate at least one packet based on packet construction rules of the user-specified rules, wherein the at least one packet comprises at least one context field that augments content meaning of the data, and wherein the import filter can support a variety of source data formats; and

at least one processing module to process data in the at least one packet according to packet dispatch rules of the user-specified rules and to generate knowledge from the data in the at least one packet.

21. The computerized system of claim 20 further comprising a system executive to control the at least one repository and the at least one processing module.

22. The computerized system of claim 20, wherein the at least one processing module is configured to route a packet to at least one other processing module based on the packet dispatch rules.

23. The computerized system of claim 22, wherein the at least one processing module is configured to save a packet in a packet repository that is routed to the at least one other processing module.

24. A computerized method of translating data to knowledge, the computerized method comprising:

providing user-specified rules to govern the behavior of a computerized system for translating data to knowledge;

receiving data;

generating at least one packet for storage of the data based on the user-specified rules, wherein the at least one packet comprises at least one context field that augments content meaning of the data; and

processing data in the at least one packet according to the user-specified rules to generate knowledge, wherein ones of the user-specified rules are packet construction rules.

25. The computerized method of claim 24 further comprising data according to additional rules without modifying the existing processing components.

26. The computerized method of claim 24 wherein processing data according to the rules further comprises extracting text from the data.

27. The computerized method of claim 24 wherein processing data according to the rules further comprises exporting the knowledge to a knowledge repository.

28. The computerized method of claim 24 wherein processing data according to the rules further comprises converting data into a neutral format.

29. A computerized method of translating data to knowledge, the computerized method comprising:

providing user-specified rules to govern the behavior of a computerized system for translating data to knowledge;

receiving data, wherein the received data can be in one of a variety of supported formats;

generating at least one packet for storage of the data based on the user-specified rules, wherein the at least one packet comprises at least one context field that augments content meaning of the data; and

processing data in the at least one packet according to the user-specified rules to generate knowledge, wherein ones of the user-specified rules are packet dispatch rules.

30. The computerized method of claim 29, wherein processing the data according to the user-specified rules to generate knowledge comprises routing a packet to at least one processing module based on the packet dispatch rules.

31. The computerized method of claim 30, wherein processing the data according to the user-specified rules comprises saving a packet in a packet repository that is routed to the at least one processing module.

32. A computerized method of translating data to knowledge, the computerized method comprising:

providing user-specified rules to govern the behavior of a computerized system for translating data to knowledge;

receiving data, wherein the received data can be in one of a variety of supported formats;

converting the data into a neutral form;

storing the converted data into at least one packet based on the user-specified rules; and

processing data according to the user-specified rules to generate knowledge, wherein ones of the user-specified rules are text extraction rules.

33. The computerized method of claim 32, wherein the data is an input text and wherein processing the data according to the user-specified rules to generate knowledge comprises identifying user-specified text entities within the input text based on the text extraction rules.

34. The computerized method of claim 33, wherein processing the data according to the user-specified rules to generate knowledge comprises formatting the identified user-specified text entities based on the text extraction rules.

35. A computerized method of translating data to knowledge, the computerized method comprising:

providing user-specified rules to govern the behavior of a computerized system for translating data to knowledge;

receiving data, wherein the received data can be in one of a variety of supported formats;

generating at least one packet for storage of the data based on the user-specified rules, wherein the at least one packet comprises at least one content field for storage of the data and at least one context field that augments content meaning of the data; and

processing data according to the user-specified rules to generate knowledge, wherein ones of the user-specified rules are packet export rules.

36. The computerized method of claim 35, wherein processing the data according to the user-specified rules to generate knowledge comprises mapping content of the packet to a field of a database table based on the packet export rules.

37. The computerized method of claim 35, wherein processing the data according to the user-specified rules to generate knowledge comprises mapping context of the packet to a field of a database table based on the packet export rules.

38. A computer readable medium having computer-executable instructions stored thereon for executing a method of translating data to knowledge, the computerized method comprising:

receiving data in an unstructured form, wherein the unstructured form is one of a variety of supported unstructured forms;

converting the data to a neutral form;

processing data according to user-specified rules to translate the data from the neutral form to knowledge; and

exporting the knowledge to a knowledge repository.

39. The computer readable medium of claim 38 wherein converting the data to a neutral form comprises applying user-specified packet construction rules to the data.

40. The computer readable medium of claim 38 wherein processing data according to user-specified rules comprises applying user-specified packet dispatch rules to the data to route the packets to a packet processing module.

41. The computer readable medium of claim 38 wherein processing data according to user-specified rules comprises applying user-specified text extraction rules to the data.

42. The computer readable medium of claim 38 wherein exporting the data to the knowledge repository comprises applying user-specified packet export rules to the data.