Search Methods and Various Applications

• US 20130226854A1
• Filed: 02/11/2013
• Published: 08/29/2013
• Est. Priority Date: 12/12/2005
• Status: Abandoned Application

• Current Assignee: Qin Zhang
• Original Assignee: Qin Zhang
• Inventors: Zhang, Qin
• Application Number:
  US13/763,736
• Publication Number:
  US 20130226854A1
• Time in Patent Office: Days
• US Class Current: 706/47
• CPC Class Codes: G06F 16/30 of unstructured textual data document management systems G06F16/93
• CPC Class Codes: G06N 5/025 Extracting rules from data

Abstract

The present invention relates to a system and method for information process using artificially constructed apparatus. More specially, in one preferred embodiment of the present invention, documents can be processed so that the most relevant terms of the contents of the documents can be obtained, and searched. In another preferred embodiment of the present invention, the present invention provides a system and method that can search for information in a document structure and provide precise results by analyzing the inputs and search results using the executing system and the knowledge structure of the think system.

Claims

1. A language process method for operating a human-made system including one or more CPU'"'"'s, one or more I/O devices, and one or more memories, comprising the steps of:

establishing a knowledge structure including a language file organizing mechanism, and more than one language element files, wherein the language element files include identifying information and knowledge information; and

establishing a document structure, wherein the document structure further comprises document entry files, document addresses, document contents, and a document organizing mechanism, wherein the document entry files comprise subject terms, feature terms, wherein the subject terms represent the subjects in the documents, wherein the feature terms relate to the subjects and are corresponding to respective features, wherein the knowledge structure is used by the human-made system to process the document structure.

2. A method as claimed in claim 1, further comprising the step of establishing a process structure comprising a process file organizing mechanism, and at least one process file.

3. A method as claimed in claim 2, wherein the feature terms and terms indicating the respective types of features are paired in the document entry files.

4. A method as claimed in claim 3, wherein the feature terms in the document entry files are combined with prefixes indicating the respective types of features.

5. A method as claimed in claim 4, further comprises the steps of:

establishing an executing system comprising an internal control mechanism and an inputting mode, a reading mode, a thinking mode, a writing mode, a memorizing mode, an outputting mode, an inquiry mode, verification mode, and a system update mode;

wherein the internal control mechanism further comprises internal control rules and structure rules, wherein the internal control rules include basic rules, target rules, task rules; and

establishing a system log.

6. A method as claimed in claim 5, further comprises the steps of:

running the executing system wherein the thinking mode, inquiry mode, memorizing mode, verification mode, and a system update mode can be activated according to the internal control rules of the internal control mechanism not triggered by an input;

if input information is to be received from an inputting device of a sensing and information gathering system, the internal control mechanism will operate inputting mode according to the internal control rules;

once input information is received by the executing system, the internal control mechanism will activate reading mode according to the internal control rules;

if it is determined a specific task is called for, the internal control mechanism will activate the thinking mode, wherein according to the thinking rules designated by the internal control mechanism, the thinking mode can establish new direct links between the existing elements of the knowledge structure that match with the elements of the input information according to the input information;

wherein the new direct link between the first existing element and the second existing element can be saved to the element file of the first existing element and the element file of the second existing element by the memorizing mode according to the memorizing rule, wherein the linking process for linking the first existing element with the second existing element can be saved as a process file to a process structure by the memorizing mode according to the memorizing rule, wherein information including the new direct link between the first existing element and the second existing element can be written to a display device by the writing mode according to the writing rules and the structure rules of the internal control mechanism, wherein the new direct link between the first existing element and the second existing element can be converted to information other than language and outputted as control signal to output device by the outputting mode according to the outputting rule;

wherein the internal control mechanism can operate inquiry mode according to the internal control rules, wherein the inquiries can be sent to display device or output device to inquire information, or document structure, wherein the input information responding to the inquiries will be processed by inputting mode, reading mode, and thinking mode, and memorizing mode to establish new direct links between the existing elements, new direct links between new elements and existing elements of the knowledge structure, and new element files; and

if new links and/or new element files and/or new process files are established, the internal control mechanism can operate the verification mode to verify new direct links and the new linking processes;

the internal control mechanism can also operate the system update mode to update the internal control rules, the structure rules, and the process files in the process structure, wherein the system operator'"'"'s participations are often needed.

7. A method as claimed in claim 6, wherein documents in the document structure can be the input information to be process to obtain subject terms and corresponding feature terms and terms indicating the respective types of features.

8. A method as claimed in claim 6, wherein the input information can be process to obtain subject terms and corresponding feature terms and terms indicating the respective types of features, and used to search document entry files of document structure for the subject terms and corresponding feature terms and terms indicating the respective types of features obtained from the input information.

9. A method as claimed in claim 8, wherein the documents with document entry files that include the subject terms and corresponding feature terms and terms indicating the respective types of features obtained from the input information can be obtained and displayed.

10. A method as claimed in claim 9, wherein the documents can be displayed in the order according to features that are not search terms.

11. A human-made language process system including one or more CPU'"'"'s, one or more I/O devices, and one or more memories comprising a knowledge structure, a document structure, and an executing system, wherein the knowledge structure includes a language file organizing mechanism, and more than one language element files, wherein the language element files include identifying information and knowledge information;

wherein the document structure further comprises document entry files, document addresses, document contents, and a document organizing mechanism, wherein the document entry files comprise subject terms and feature terms, wherein the subject terms represent the subjects in the documents, wherein the feature terms relate to the subjects and are corresponding to respective features, wherein the knowledge structure is used by the human-made system to process the document structure.

12. A system as claimed in claim 11, further comprising a process structure, and a system log.

13. A system as claimed in claim 12, wherein the feature terms and terms indicating the respective types of features are paired in the document entry files.

14. A system as claimed in claim 13, wherein the feature terms in the document entry files are combined with prefixes indicating the respective types of features.

15. A method as claimed in claim 14, wherein input information can be process to obtain subject terms and corresponding feature terms and terms indicating respective features, and used to search document entry files of document structure for the subject terms and corresponding feature terms and terms indicating the respective types of features obtained from the input information.

16. A document structure system, in a human-made language process system including one or more CPU'"'"'s, one or more I/O devices, and one or more memories, comprising:

document entry files, document addresses, and document contents, and a document organizing mechanism;

wherein the document entry files comprise subject terms and feature terms, wherein the subject terms represent the subjects in the documents, wherein the feature terms relate to the subjects and are corresponding to respective features.

17. A system as claimed in claim 16, wherein the feature terms and terms indicating the respective types of features are paired in the document entry files.

18. A system as claimed in claim 16, wherein the feature terms in the document entry files are combined with prefixes indicating the respective types of features.

19. A system as claimed in claim 18, wherein when searches are conducted within the document structure, the search terms can be in a format indicating the subject terms and corresponding feature terms and the terms indicating the respective types of features.

20. A system as claimed in claim 19, wherein the documents with document entry files that include the subject terms and corresponding feature terms and terms indicating the respective types of features obtained from the input information can be obtained and displayed in the order according to features that are not search terms.