Information service for facts extracted from differing sources on a wide area network

• US 8,468,153 B2
• Filed: 01/21/2010
• Issued: 06/18/2013
• Est. Priority Date: 01/21/2009
• Status: Active Grant

• Current Assignee: Recorded Future, Inc.
• Original Assignee: Recorded Future, Inc.
• Inventors: Ahlberg, Christopher, Truv, Staffan
• Primary Examiner(s): BURKE, JEFF A
• Application Number:
  US12/691,687
• Publication Number:
  US 20100299324A1
• Time in Patent Office: 1,244 Days
• Field of Search: 707/723, 707/751, 707/943
• US Class Current: 707/723
• CPC Class Codes: G06F 16/24578 using ranking
• CPC Class Codes: G06F 16/2477 Temporal data queries
• CPC Class Codes: H04W 4/20 Services signaling; Auxiliary data signalling, i.e. transmitting data via a non-traffic channel

Abstract

In one general aspect, a wide area network fact information service method is disclosed. This method includes storing a plurality of canonical fact entries, storing one or more fact descriptor entries for each of the canonical fact entries, and ranking the canonical fact entries relative to each other based on the descriptor entries.

Claims

1. A wide area network fact information service method, including:

storing a plurality of canonical fact entries in different subject matter domains, wherein the canonical fact entries each correspond to an occurrence and each include an occurrence date for that occurrence,

storing one or more fact descriptor entries for each of the canonical fact entries,

ranking the canonical fact entries in each subject matter domain relative to each other based on the descriptor entries, the occurrence dates, and on at least one ranking measure for that subject matter domain, and

wherein at least some of the occurrence dates are extracted from content meaning in one or more textual sources about the occurrence.

2. The method of claim 1 wherein the step of ranking is a continuous process that recalculates the rank of canonical fact entries based on new descriptor entries.

3. The method of claim 1 wherein the step of ranking is an iterative process that recalculates the rank of canonical fact entries based on new descriptor entries.

4. The method of claim 1 wherein the step of ranking is a parallel process that recalculates the rank of canonical fact entries based on new descriptor entries.

5. The method of claim 1 wherein the ranking is based on a predetermined ranking for entities associated with the canonical fact entries.

6. The method of claim 5 wherein the entity ranking is based on a number of descriptor entries.

7. The method of claim 5 wherein the entity ranking is based on a number of descriptor entries within a category.

8. The method of claim 5 wherein the entity ranking is based on a sentiment/attitude value.

9. The method of claim 5 wherein the entity ranking is based on co-occurrence with other facts and their rankings.

10. The method of claim 1 wherein the ranking is based on a ranking of source credibility for data source providers associated with the descriptor entries.

11. The method of claim 10 wherein a same source provider can have different credibility values for different sources that it provides.

12. The method of claim 10 wherein a same source provider can have different credibility values for different categories of sources that it provides.

13. The method of claim 10 wherein the credibility ranking is based on at least one user interest measure.

14. The method of claim 1 wherein the ranking is based on a proximity measure for the descriptor entries.

15. The method of claim 14 wherein the proximity measure is a temporal proximity measure.

16. The method of claim 14 wherein proximity measures are combined using a fading factor.

17. The method of claim 1 wherein the ranking is based on a plurality of similarity measures that express a similarity between the canonical fact entries and/or fact descriptor entries.

18. The method of claim 17 wherein the similarity measures relate to fact type and temporal overlap.

19. The method of claim 17 wherein the similarity measures operate according to a hierarchy.

20. The method of claim 1 wherein the ranking is based on publication times.

21. A wide area network fact information service system, including:

canonical fact entry storage, for storing a plurality of canonical fact entries in different subject matter domains, wherein the canonical fact entries each correspond to an occurrence and each include an occurrence date for that occurrence, and wherein at least some of the occurrence dates are extracted from content meaning in one or more textual sources about the occurrence,

fact descriptor entry storage for storing one or more fact descriptor entries for each of the canonical fact entries, and

a ranker for ranking the canonical fact entries in each subject matter domain relative to each other based on the descriptor entries, the occurrence dates, and on at least one ranking measure for that subject matter domain.

22. A wide area network fact information service system, including:

means for storing a plurality of canonical fact entries in different subject matter domains, wherein the canonical fact entries each correspond to an occurrence and each include an occurrence date for that occurrence, and wherein at least some of the occurrence dates are extracted from content meaning in one or more textual sources about the occurrence,

means for storing one or more fact descriptor entries for each of the canonical fact entries, and

means for ranking the canonical fact entries in each subject matter domain relative to each other based on the descriptor entries, the occurrence dates, and on at least one ranking measure for that subject matter domain.