User Interface for Facts Query Engine Snippets from Information Souces that Include Query Terms and Answer Terms

• US 20120278301A1
• Filed: 07/13/2012
• Published: 11/01/2012
• Est. Priority Date: 03/31/2005
• Status: Active Grant

• Current Assignee: Google LLC (Alphabet Inc.)
• Original Assignee: Andrew William Hogue
• Inventors: Hogue, Andrew William
• Granted Patent: US 8,650,175 B2
• Time in Patent Office: Days
• US Class Current: 707/706
• CPC Class Codes: G06F 16/951 Indexing; Web crawling techniques
• CPC Class Codes: G06F 16/9538 Presentation of query results
• CPC Class Codes: Y10S 707/99933 Query processing, i.e. searching
• CPC Class Codes: Y10S 707/99934 Query formulation, input preparation, or translation
• CPC Class Codes: Y10S 707/99935 Query augmenting and refining, e.g. inexact access

Abstract

A method and a system for providing snippets of source documents of an answer to a fact query are disclosed. Snippets of source documents may be provided in response to a user request for the source documents from which the fact answer to a fact query was extracted. The snippets include the terms of the fact query and terms of the answer. The snippets may be displayed along with Uniform Resource Locators (URL'"'"'s) of the source documents.

Claims

1. A method for responding to a factual query performed by a computer system having one or more processors and memory storing one or more programs for execution by the one or more processors to perform the method, the method comprising:

receiving a user-formulated factual query;

identifying, from a fact repository, factual information that answers the factual query, wherein the fact repository includes a plurality of objects;

searching a document database distinct from the fact repository to identify one or more documents matching the user-formulated factual query; and

generating a response including both the factual information from the fact repository, and information, identifying at least a subset of the documents identified from the document database.

2. The method of claim 1, including:

generating a snippet for a source corresponding to the factual information, the snippet including one or more query terms of the factual query and one or more of the factual answer terms of the factual information; and

including the snippet in the generated response.

3. The method of claim 2, wherein generating the response further comprises highlighting within the snippet the one or more terms of the factual query and the one or more factual answer terms of the factual information.

4. The method of claim 2, wherein identifying the factual information includes identifying a respective factual answer term that comprises one or more words or numbers, and wherein generating the snippet includes identifying a text portion of the source that includes the identified factual answer term and generating the snippet so as to include the identified text portion that includes the identified respective factual answer term.

5. The method of claim 1, wherein the method further comprises:

identifying for the factual information one or more source documents;

accessing at least one of the source documents in the document database; and

generating a snippet for at least one of the source documents, the snippet including one or more query terms of the factual query and one or more of the factual answer terms of the factual information; and

including the snippet in the generated response.

6. The method of claim 1, wherein:

the identifying includes identifying for the factual information one or more source documents; and

the generating includes generating a list of a subset of the one or more source documents.

7. The method of claim 1, further comprising:

preparing a response for presentation to the user, wherein the response includes one or more of;

the factual information that answers the factual query, a link to a source of the factual information, and the subset of documents identified from the document database.

8. The method of claim 6, wherein:

generating the response includes determining a proximity of the one or more query terms of the factual query and the one or more factual answer terms of the factual information in at least one of the source documents.

9. A system, for responding to a factual query, comprising:

one or more central processing units for executing programs;

memory storing one or more programs be executed by the one or more central processing units;

the one or more programs comprising instructions for;

receiving a user-formulated factual query;

identifying, from a fact repository, factual information that answers the factual query, wherein the fact repository includes a plurality of objects;

searching a document database distinct from the fact repository to identify one or more documents matching the user-formulated factual query; and

generating a response including both the factual information from the fact repository, and information, identifying at least a subset of the documents identified from the document database.

10. The system of claim 9, further comprising instructions for:

generating a snippet for a source corresponding to the factual information, the snippet including one or more query terms of the factual query and one or more of the factual answer terms of the factual information; and

including the snippet in the generated response.

11. The system of claim 10, wherein:

instructions for generating the response further comprises instructions for highlighting within the snippet the one or more terms of the factual query and the one or more factual answer terms of the factual information.

12. The system of claim 10, wherein:

instructions for identifying the factual information include instructions for identifying a respective factual answer term that comprises one or more words or numbers, and

instructions for generating the snippet include instructions for identifying a text portion of the source that includes the identified factual answer term and generating the snippet so as to include the identified text portion that includes the identified respective factual answer term.

13. The system of claim 9, further comprising instructions for:

identifying for the factual information one or more source documents;

accessing at least one of the source documents in the document database; and

generating a snippet for at least one of the source documents, the snippet including one or more query terms of the factual query and one or more of the factual answer terms of the factual information; and

including the snippet in the generated response.

14. The system of claim 9, further comprising instructions for:

identifying for the factual information one or more source documents; and

generating a list of a subset of the one or more source documents.

15. The system of claim 9, further comprising instructions for:

preparing for presentation a response to the user, wherein the response includes one or more of;

the factual information that answers the factual query, a link to a source of the factual information, a link to the list of the subset of the one or more source documents, and the subset of documents identified from the document database.

16. The system of claim 14, further comprising instructions for:

generating the response includes determining a proximity of the one or more query terms of the factual query and the one or more factual answer terms of the factual information in at least one of the source documents.

17. A non-transitory computer readable storage medium storing one or more programs configured for execution by a computer, the one or more programs comprising instructions for:

receiving a user-formulated factual query;

identifying, from a fact repository, factual information that answers the factual query, wherein the fact repository includes a plurality of objects;

searching a document database distinct from the fact repository to identify one or more documents matching the user-formulated factual query; and

generating a response including both factual information that answers the factual query, wherein the factual information is from the fact repository, and information, identifying at least a subset of the documents identified from the document database.

18. The computer readable storage medium storing of claim 17, further comprising instructions for:

generating a snippet for a source corresponding to the factual information, the snippet including one or more query terms of the factual query and one or more of the factual answer terms of the factual information; and

including the snippet in the generated response.

19. The computer readable storage medium storing of claim 18, wherein:

instructions for generating the response further comprises instructions for highlighting within the snippet the one or more terms of the factual query and the one or more factual answer terms of the factual information.

20. The computer readable storage medium storing of claim 18, wherein:

instructions for identifying the answer include instructions for identifying a respective factual answer term that comprises one or more words or numbers, and

instructions for generating the snippet include instructions for identifying a text portion of the source that includes the identified factual answer term and generating the snippet so as to include the identified text portion that includes the identified respective factual answer term.

21. The computer readable storage medium storing of claim 17, further comprising instructions for:

identifying for the factual information one or more source documents;

accessing at least one of the source documents in the document database; and

generating a snippet for at least one of the source documents, the snippet including one or more query terms of the factual query and one or more of the factual answer terms of the factual information; and

including the snippet in the generated response.

22. The computer readable storage medium storing of claim 17, further comprising instructions for:

identifying for the factual information one or more source documents; and

generating a list of a subset of the one or more source documents.

23. The computer readable storage medium storing of claim 22, further comprising instructions for:

preparing for presentation a response to the user, wherein the response includes one or more of;

the factual information that answers the factual query, a link to a source of the factual information, a link to the list of the subset of the one or more source documents, and the subset of documents identified from the document database.

24. The computer readable storage medium storing of claim 22, further comprising instructions for:

generating the response includes determining a proximity of the one or more query terms of the factual query and the one or more factual answer terms of the factual information in at least one of the source documents.