SYSTEM AND METHOD OF SEMANTIC BASED SEARCHING

• US 20110314032A1
• Filed: 06/20/2011
• Published: 12/22/2011
• Est. Priority Date: 06/18/2010
• Status: Active Grant

• Current Assignee: Accelerated Vision Group, LLC
• Original Assignee: Accelerated Vision Group, LLC
• Inventors: BENNETT, Susan, CHA, Mihwa
• Granted Patent: US 8,620,890 B2
• Time in Patent Office: Days
• US Class Current: 707/749
• CPC Class Codes: G06F 16/3344 using natural language analysis
• CPC Class Codes: G06F 16/338 Presentation of query results
• CPC Class Codes: G06F 16/36 Creation of semantic tools, e.g. ontology or thesauri

Abstract

A computer-implemented method is provided for searching documents containing complex bodies of knowledge, such as patents and research papers. The computer-implemented method and related hardware and software provides methodology to interpret the intent of the searcher (the meaning of the searcher'"'"'s query) into a MetaLanguage, including but not limited to the use of Fundamental Nature Attributes, Fundamental Action Attributes and Weighting of these attributes as it pertains to the intent of the searcher. The invention relates to semantic based searches. The same methodology that is used on the searcher'"'"'s query is also used to mine and store the existing databases of patents and research papers into databases of MetaLanguage for the purpose of producing search results that better match search inquiries.

Claims

1. A computer implemented method of semantic based searching comprising the steps of:

selecting a target set of searchable data items;

processing each of said data items through a MetaLanguage translator, said translator performing the steps of;

identifying noun-verb relationships and qualifiers of nouns and verbs contained within each data item; and

assigning at least one Fundamental Attribute to each of said noun-verb relationships, wherein said Fundamental Attribute is a single abstraction of more than one noun, verb, or qualifier of a noun or verb;

associating in a computer searchable memory said at least one Fundamental

Attribute with the data item to which it relates;

inputting a search query;

assigning at least one Fundamental Attribute to said search query; and

searching said computer searchable memory to identify any data items that include at least one Fundamental Attribute associated therewith that is relevant to said at least one Fundamental Attribute of said search query.

2. The method as claimed in claim 1 further comprising the steps of:

generating a results list of data items identified in said searching step; and

displaying said results list on a graphical user interface.

3. The method as claimed in claim 2 wherein said displaying step further comprising displaying data items selected from said results list on said graphical user interface.

4. The method as claimed in claim 1 wherein said at least one Fundamental Attribute includes one or more of a Fundamental Nature and a Fundamental Action to each noun-verb relationship.

5. The method as claimed in claim 4 wherein said at least one Fundamental Attribute includes a Fundamental Nature and a Fundamental Action to each noun-verb relationship.

6. The method as claimed in claim 5 wherein said at least one Fundamental Attribute further includes a Fundamental Qualifier.

7. The method as claimed in claim 4 wherein said Fundamental Nature is associated with the noun of each noun-verb relationship.

8. The method as claimed in claim 4 wherein said Fundamental Action is associated with the verb of each noun-verb relationship.

9. The method as claimed in claim 8 wherein said verb comprises a noun functioning as a verb.

10. The method as claimed in claim 1 wherein separate sections of each item of said target set of searchable data items are identified in said indentifying step and wherein at least one Fundamental Attribute is assigned to each section of each item in said assigning step.

11. The method as claimed in claim 10 where said separate sections comprise individual sentences within each item.

12. The method as claimed in claim 10 wherein said separate sections comprise individual pages within each item.

13. The method as claimed in claim 10 wherein said separate sections comprise the entirety of each item.

14. The method as claimed in claim 10 wherein multiple Fundamental Attributes for a single section of each item are associated together to determine at least one Fundamental Attribute for said section.

15. The method as claimed in claim 1 wherein in said searching step said MetaLanguage translator determines that said at least one Fundamental Attribute associated with a data item is relevant to said at least one Fundamental Attribute of said search query through a ranking process.

16. The method as claimed in claim 15 wherein said ranking process includes a prioritization of relevance based on similarity of said at least one Fundamental Attribute associated with a data item to said at least one Fundamental Attribute of said search query.

17. The method as claimed in claim 16 wherein said prioritization is based upon a frequency of associations between said at least one Fundamental Attribute associated with a data item and said at least one Fundamental Attribute of said search query.

18. The method as claimed in claim 15 wherein said ranking process includes a prioritization of relevance based on pattern recognition.

19. The method as claimed in claim 18 wherein said prioritization is based upon user feedback regarding relevance of items identified in said searching step.

20. The method as claimed in claim 18 wherein said user feedback comprises an indication from a user that an item is relevant.

21. The method as claimed in claim 18 wherein said user feedback comprises a recognition that a user reviewed said item or a portion thereof for a predetermined period of time.

22. The method as claimed in claim 1 wherein said Fundamental Attributes are selected from a computer searchable memory in which each Fundamental Attribute is associated with more than one noun, verb, or qualifier of a noun or verb.

23. The method as claimed in claim 1 wherein in said inputting step, a user is guided into inputting said search query in the form of an act and an outcome desired.

24. The method as claimed in claim 1 wherein in said searching step includes a first order search and a second order search option.

25. The method as claimed in claim 1 further comprising the step of utilizing crowd sourcing to assess the validity and relevance of results of said searching step.

26. The method as claimed in claim 1 wherein said computer searchable memory comprises an associative memory array.

27. The method as claimed in claim 1 wherein said computer searchable memory comprises a database.

28. The method as claimed in claim 1 wherein in said processing step, said translator further performs the steps of:

associating in said computer searchable memory each of said noun-verb relationships and qualifiers of nouns and verbs contained within each data item with the data item to which each of said noun-verb relationships and qualifiers of nouns and verbs contained within each data item relates;

identifying noun-verb relationships and qualifiers of nouns and verbs contained within said search query; and

searching said computer searchable database memory to identify any data items that include at least one noun-verb relationship or qualifiers of nouns and verbs associated therewith that are relevant to at least one of said noun-verb relationships or qualifiers of nouns and verbs of said search query.

29. The method as claimed in claim 28 wherein said step of searching said computer searchable database memory to identify any data items that include at least one noun-verb relationship or qualifiers of nouns and verbs associated therewith that are relevant to at least one of said noun-verb relationships or qualifiers of nouns and verbs of said search query is performed prior to said step of searching said computer searchable memory to identify any data items that include at least one Fundamental Attribute associated therewith that is relevant to said at least one Fundamental Attribute of said search query.

30. The method as claimed in claim 29 wherein said step of searching said computer searchable memory to identify any data items that include at least one Fundamental Attribute associated therewith that is relevant to said at least one Fundamental Attribute of said search query is conducted within a results list of said step of searching said computer searchable database memory to identify any data items that include at least one noun-verb relationship or qualifiers of nouns and verbs associated therewith that are relevant to at least one of said noun-verb relationships or qualifiers of nouns and verbs of said search query.

31. The method as claimed in claim 28 wherein said step of searching said computer searchable memory to identify any data items that include at least one Fundamental Attribute associated therewith that is relevant to said at least one Fundamental Attribute of said search query is performed prior to said step of searching said computer searchable database memory to identify any data items that include at least one noun-verb relationship or qualifiers of nouns and verbs associated therewith that are relevant to at least one of said noun-verb relationships or qualifiers of nouns and verbs of said search query.

32. The method as claimed in claim 31 wherein said step of searching said computer searchable memory to identify any data items that include at least one Fundamental Attribute associated therewith that is relevant to said at least one Fundamental Attribute of said search query is conducted within a results list of said step of searching said computer searchable database memory to identify any data items that include at least one noun-verb relationship or qualifiers of nouns and verbs associated therewith that are relevant to at least one of said noun-verb relationships or qualifiers of nouns and verbs of said search query.

33. The method as claimed in claim 1 wherein said at least one Fundamental Attribute within each data item of said search query each includes at least one Fundamental Nature and at least one Fundamental Action, and wherein said searching step includes the steps of:

searching first said computer searchable memory to identify any data items that include at least one Fundamental Nature associated therewith that is relevant to said at least one Fundamental Nature of said search query; and

searching second within a results list of said first searching step said computer searchable memory to identify any data items that include at least one Fundamental Action associated therewith that is relevant to said at least one Fundamental Action of said search query.

34. The method as claimed in claim 1 wherein said at least one Fundamental Attribute within each data item of said search query each includes at least one Fundamental Nature and at least one Fundamental Action, and wherein said searching step includes the steps of:

searching first said computer searchable memory to identify any data items that include at least one Fundamental Action associated therewith that is relevant to said at least one Fundamental Action of said search query; and

searching second within a results list of said first searching step said computer searchable memory to identify any data items that include at least one Fundamental Nature associated therewith that is relevant to said at least one Fundamental Nature of said search query.