Novel systems and methods for performing contextual information retrieval

• US 20070185859A1
• Filed: 10/12/2006
• Published: 08/09/2007
• Est. Priority Date: 10/12/2005
• Status: Abandoned Application

• Current Assignee: Jiles Incorporated
• Original Assignee: Farmer Michael, Gordon Fischer, John Desanto, John Flowers, Kozoru, Inc., Martin Quiroga
• Inventors: Farmer, Michael, DeSanto, John, Fischer, Gordon, Quiroga, Martin, Flowers, John
• Application Number:
  US11/548,942
• Publication Number:
  US 20070185859A1
• Time in Patent Office: Days
• US Class Current: 1/1
• CPC Class Codes: G06F 16/3344 using natural language analysis
• CPC Class Codes: G06F 16/951 Indexing; Web crawling techniques

Abstract

The present invention is directed to systems and methods for encoding and retrieving information from a variety of sources using novel search techniques. The systems and methods of the invention are capable of extracting all types of structural and relational information from a query or a source data allowing for the recognition of subtle differences in meaning. The capability of discerning subtle differences in meaning that are beyond the search systems and methods presently available, the invention described herein is capable of repeatedly providing accurate and meaningful responses to a diverse set of queries.

Claims

1. A method for generating a syntactically-accurate response to a query using a statistically-encoded database, the method comprising:

a) encoding the query to form a query statement consisting of at least one sCLID wherein the sCLID represents a wordset identifying the positional relationship of the words forming the wordset and a frequency value that provides a statistically accurate representation of the information content of the wordset as it exists in the statistically-encoded database;

b) searching the statistically-encoded database using the query statement thereby identifying the syntactically-accurate response; and

,

c) providing the user the syntactically-accurate response.

2. The method of claim 1, further comprising ordering the sCLIDs in the statement according to the position of the first word in the wordset represented by sCLID.

3. The method of claim 1, wherein the positional relationship is a word distance of 2.

4. The method of claim 1, wherein the wordset consists of two words.

5. The method of claim 1, wherein:

the searching step identifies a plurality of syntactically-accurate responses each syntactically-accurate response having an associated information content value;

the syntactically-accurate response of the providing step is a best syntactically-accurate response; and

,

the method further comprises

d) identifying the best syntactically-accurate response by determining the syntactically-accurate response having the largest information content value.

6. The method of claim 1, wherein the statistically encoded database comprises a plurality of unique sCLIDs and a plurality of sentences, each word of each sentence is associated with a unique sCLID and each sCLID is associated with a sCLID count.

7. The method of claim 1, wherein the syntactically-accurate response is contextually related to the query.

8. The method of claim 1, further comprising:

d) displaying an object indicating the contextual accuracy of the syntactically-accurate response.

9. The method of claim 4, wherein the object in step d is a graphic image or a text image.

10. The method of claim 1, wherein the syntactically-accurate response comprises

a) at least one sentence;

and,

b) a link to a source containing the at least one sentence.

11. The method of claim 10, wherein the at least one sentence is a plurality of sentences that are taken in context from the source.

12. A system for generating a syntactically-accurate response to a query using a statistically-encoded database comprising:

a) a first user interface for receiving the query;

b) a processing module (AKA a processing object) for encoding the query to form a query statement consisting of at least one sCLID wherein the sCLID represents a wordset identifying the positional relationship of the words forming the wordset and a frequency value that provides a statistically accurate representation of the information content of the wordset as it exists in the statistically-encoded database;

c) a search module for identifying the syntactically-accurate response from the statistically-encoded database using the query statement; and

,

d) a second user interface for providing the syntactically-accurate response to a user.

13. The system of claim 12, wherein the first and second user interfaces are part of the same device.

14. The method of claim 13, wherein the processing module, the search module and the user interfaces are incorporated into a single device.

15. The system of claim 12, further comprising a structured data store preserving a plurality of sentences and a plurality of unique sCLIDS, each sCLID associated with at least one sentence.

16. A method of efficiently storing information in an encoded database comprising a plurality of unique wordsets, each wordset associated with a link count, the method comprising:

a) retrieving a document; and

,

b) processing the document by;

i) extracting one or more sentences from the document;

ii) parsing each sentence into one or more wordsets wherein

(a) each wordset includes a plurality of words;

(b) words within each wordset are positionally related to each other based on a pre-defined word distance; and

,

(c) all words in the sentence are initially a member of at least one wordset;

iii) comparing parsed wordsets to stored wordsets in the encoded database wherein parsed wordsets not present in the encoded database are stored in the encoded database;

iv) associating each word in each sentence to a wordset in the encoded database;

v) incrementing the associated link count for each wordset present in the encoded database and the parsed sentence; and

,

vi) associating the document to the parsed sentence.