SYSTEMS AND METHODS FOR TOPICAL SEARCHING

• US 20100042589A1
• Filed: 08/15/2008
• Published: 02/18/2010
• Est. Priority Date: 08/15/2008
• Status: Abandoned Application

• Current Assignee: Intelligent Language, LLC
• Original Assignee: Intelligent Language, LLC
• Inventors: Smyros, Constantine, Smyros, Athena A.
• Application Number:
  US12/192,846
• Publication Number:
  US 20100042589A1
• Time in Patent Office: Days
• US Class Current: N/A
• CPC Class Codes: G06F 16/313 Selection or weighting of terms for indexing

Abstract

Embodiments of the invention form an information set from the current set of index information available by the operations of the pre-search and runtime Search components of the search engine. A search request that contains search terms and/or other search criteria (e.g. date or file type) is entered by a user through an input interface. The search terms and the information set are worked through the search engine modules to provide the actual results sought by the user. These results are provided to the user via an output interface. A search request may comprise topics of interest to the user.

Claims

1. A method for forming an index of an information repository that is topically searchable comprising:

analyzing each document of a plurality of documents to determine at least one topic of the document;

analyzing the plurality of documents to determine common topics among the plurality of documents; and

forming the index from the analysis of each document and the analysis of the plurality of documents, wherein the index is a numerical matrix.

2. The method of claim 1, further comprising:

providing a term unit matrix of the plurality of documents, wherein the analyzing each document and the analyzing the plurality of documents use the term unit matrix;

wherein a term unit is a set of characters that is separated by a space from another term unit, and the matrix includes interval values that indicate length between topics.

3. The method of claim 2, wherein analyzing each document comprises:

determining a topic set comprising a plurality of topics;

determining a location for each topic of the plurality of topics within the term unit matrix;

determining an overlap value for each of the topics based on their locations; and

ordering the topics based on the overlap values.

4. The method of claim 3, wherein determining a topic set comprises:

determining whether term units of the matrix are suitable as topics;

removing noisy term units;

determining which topics comprise multiple term units; and

removing single term unit topics from the set.

5. The method of claim 3, wherein performing a frequency analysis accounts for tolerances in performing the analysis;

wherein a tolerance is one of a synonym, antonym, homonym, acronym, abbreviation, capitalization, punctuation, frequent misspelling, stemming, boolean, duplicated term, a number, number usage, and a formula.

6. The method of claim 3, wherein analyzing each document further comprises:

filtering out noise term units from the term unit matrix.

7. The method of claim 3, wherein the analyzing each document further comprises:

determining at least one main topic of the plurality of topics;

wherein a main topic of the plurality of topics have a length that is longer than another topic of the plurality of topics.

8. The method of claim 7, wherein the analyzing each document further comprises:

forming a hierarchy of topics from the plurality of topics.

9. The method of claim 3, wherein the analyzing the plurality of documents comprises:

maintaining a hierarchy determined from the analyzing each document; and

searching the documents for common topics subject to the hierarchy.

10. The method of claim 3, wherein the analyzing the plurality of documents comprises:

ignoring a hierarchy, if any, of determined from the analyzing each document; and

Searching the documents for common topics.

11. The method of claim 3, further comprising:

using, by a user, the index to topically search the information repository.

12. A method for topically searching an information repository of a plurality of documents that have a plurality of topics, the method comprising:

providing an numerical matrix index that catalogs the plurality of topics;

receiving a search request from a user;

comparing the search request with the index to form search results; and

returning the results to a user.

13. The method of claim 12, wherein the search request includes at least one topic of interest to the user.

14. The method of claim 13, wherein the results comprise a list of documents of the plurality of documents that are associated with the at least one topic of interest.

15. The method of claim 12, further comprising:

using, by the user, a browser to form the search request.

16. The method of claim 12, wherein the method further comprises:

analyzing the search request to determine at least one topic of the search request; and

providing a list of topics resulting from the analysis to the user.

17. The method of claim 16, wherein the method further comprises:

selecting by the user, at least one topic from the list of topics;

comparing the selected topic with the index to form search results; and

returning the results to a user.

18. The method of claim 12, wherein the information repository is a hierarchical repository, and the index reflects the hierarchy in cataloging the topics of the documents.

19. The method of claim 18, further comprising:

selecting, by a user, a scope for the search request that indicates a level of interest of the hierarchy.

20. A computer program product having a computer-readable medium having computer program logic recorded thereon for providing a topical search for a user of an information repository that comprises plurality of documents, the produce comprising:

means for analyzing each document of the plurality of documents to determine at least one topic of the document;

means for analyzing the plurality of documents to determine common topics among the plurality of documents;

means for forming an index from the analysis of each document and the analysis of the plurality of documents;

means for receiving a search request from a user;

means for comparing the search request with the index to form search results; and

means for returning the results to a user.

21. The computer program product of claim 20, wherein the computer-readable medium is associated with one of:

a computer, a laptop computer, a personal computer, a personal data assistant, a camera, a phone, a cell phone, mobile phone, a computer server, a media server, a music player, a game box, a smart phone, and a data storage device, measuring device, handheld scanner, a scanning device, a barcode reader, a POS device, digital assistant, desk phone, IP phone, solid-state memory device, handheld device, and a memory card.