Method and apparatus for extracting meaning from documents using a meaning taxonomy comprising syntactic structures

• US 7,877,344 B2
• Filed: 10/10/2007
• Issued: 01/25/2011
• Est. Priority Date: 10/10/2007
• Status: Active Grant

• Current Assignee: Northern Light Group, LLC
• Original Assignee: Northern Light Group, LLC
• Inventors: Seuss, Charles D.
• Primary Examiner(s): Holmes; Michael B.
• Assistant Examiner(s): CHANG, LI WU
• Application Number:
  US11/870,201
• Publication Number:
  US 20090099993A1
• Time in Patent Office: 1,203 Days
• Field of Search: 706/47
• US Class Current: 706/47
• CPC Class Codes: G06N 5/022 Knowledge engineering; Knowledge acquisition

Abstract

Systems and methods are provided for an expert search engine. In one embodiment, a method may employ a computer based system to define a meaning taxonomy including one or more meaning loaded entities, associate documents to the meaning taxonomy based on a set of expert rules and the syntactic structures included in the documents and provide the results to a user. In another embodiment, a system includes interfaces for meaning taxonomy, expert rule and search criteria information. The information provided by these interfaces is then used to determine how a set of documents maps to meaning taxonomy to assist the user in locating documents that are most interesting from a meaning perspective and to provide a user with an interface to navigate the meaning taxonomy as it applies to the set of documents.

Claims

1. A computer-implemented method for extracting meaning from a plurality of documents, the method comprising:

identifying, by a computer, a meaning taxonomy including a plurality of concepts;

identifying a plurality of meaning loaded entities within the meaning taxonomy;

identifying a group of syntactic structures including at least one normalized syntactic structure and a plurality of non-normalized syntactic structures, the at least one normalized syntactic structure being used to standardize the plurality of non-normalized syntactic structures;

associating the at least one normalized syntactic structure with at least one of the plurality of concepts;

associating at least one of the plurality of non-normalized syntactic structures with the at least one normalized syntactic structure; and

associating at least one of the plurality of documents with the at least one of the plurality of concepts based on a relationship between the at least one of the plurality of documents and the at least one of the plurality of non-normalized syntactic structures.

2. The method according to claim 1, wherein identifying the group of syntactic structures comprises identifying a word.

3. The method according to claim 1, wherein identifying the group of syntactic structures comprises identifying a phrase.

4. The method according to claim 1, wherein identifying the group of syntactic structures comprises identifying a sentence.

5. The method according to claim 1, wherein associating the at least one normalized syntactic structure comprises associating a plurality of normalized syntactic structures with the at least one of the plurality of concepts.

6. The method according to claim 1, wherein associating the at least one of the plurality of non-normalized syntactic structures comprises associating a two or more non-normalized syntactic structures of the plurality of non-normalized syntactic structures with the at least one normalized syntactic structure based on a relative proximity of the two or more non-normalized syntactic structures to each other.

7. The method according to claim 1, wherein associating the at least one of the plurality of documents comprises associating the at least one of the plurality of documents with the at least one of the plurality of concepts when the at least one of the plurality of documents includes at least one of the plurality of non-normalized syntactic structures that is associated with the at least one normalized syntactic structure.

8. The method according to claim 1, wherein associating the at least one of the plurality of documents comprises associating the at least one of the plurality of documents with the at least one of the plurality of concepts when the at least one of the plurality of documents includes none of the at least one of the plurality of non-normalized syntactic structures that is associated with the at least one normalized syntactic structure.

9. The computer-implemented method according to claim 1, further comprising:

executing a search against the plurality of documents, the search resulting in a subset of the plurality of documents; and

providing the subset of the plurality of documents to an external entity, the subset of the plurality of documents grouped by at least one concept of the plurality of concepts that is associated with at least one of the subset of the plurality of documents.

10. A non-transitory computer readable medium having computer readable signals stored thereon that define instructions that, as a result of being executed by a computer, instruct the computer to perform a method for extracting meaning from a plurality of documents, the method comprising:

identifying a meaning taxonomy including a plurality of concepts;

identifying a plurality of meaning loaded entities within the meaning taxonomy;

identifying a group of syntactic structures including at least one normalized syntactic structure and a plurality of non-normalized syntactic structures, the at least one normalized syntactic structure being used to standardize the plurality of non-normalized syntactic structures;

associating the at least one normalized syntactic structure with at least one of the plurality of concepts;

associating at least one of the plurality of non-normalized syntactic structures with the at least one normalized syntactic structure; and

associating at least one of the plurality of documents with the at least one of the plurality of concepts based a relationship between the at least one of the plurality of documents and the at least one of the plurality of non-normalized syntactic structures.

11. A computer-implemented method for configuring a meaning taxonomy including a plurality of concepts, the method comprising:

providing, to the user in a display, an input component that allows the user to provide at least one non-normalized syntactic structure, the at least one non-normalized syntactic structure being associated with at least one normalized syntactic structure used to standardize non-normalized syntactic structures, the at least one normalized syntactic structure being associated with at least one of the plurality of concepts;

receiving, from the user, the at least one non-normalized syntactic structure;

providing, to the user in the display, an input component that allows the user to associate the at least one non-normalized syntactic structure with at least one meaning loaded entity; and

receiving, from the user, the association between the at least one non-normalized syntactic structure and the at least one meaning loaded entity.

12. The method according to claim 11, wherein providing, to the user in the display, an input component that allows the user to provide at least one non-normalized syntactic structure comprises providing, to the user in the display, an input component that allows the user to enter a word.

13. The method according to claim 11, wherein providing, to the user in the display, an input component that allows the user to provide at least one non-normalized syntactic structure comprises providing, to the user in the display, an input component that allows the user to enter a phrase.

14. The method according to claim 11, wherein providing, to the user in the display, an input component that allows the user to provide at least one non-normalized syntactic structure comprises providing, to the user in the display, an input component that allows the user to enter a sentence.

15. The method according to claim 11, further comprising

providing, to the user in the display, an input component that allows the user to provide at least one meaning taxonomy element;

receiving, from the user, the at least one meaning taxonomy element;

providing, to the user in the display, an input component that allows the user to associate the at least one meaning taxonomy element with the at least one meaning loaded entity; and

receiving, from the user, the association between the at least one meaning taxonomy element and the at least one meaning loaded entity.