Systems, methods, interfaces and software for automated collection and integration of entity data into online databases and professional directories

• US 7,571,174 B2
• Filed: 01/03/2005
• Issued: 08/04/2009
• Est. Priority Date: 12/31/2003
• Status: Active Grant

• Current Assignee: Thomson Reuters Enterprise Centre GmbH (The Woodbridge Co. Ltd.)
• Original Assignee: Thomson Reuters Global Resources
• Inventors: Arumainayagam, Yohendran, Dozier, Christopher C.
• Primary Examiner(s): Alam; Shahid A
• Application Number:
  US11/028,464
• Publication Number:
  US 20050234968A1
• Time in Patent Office: 1,674 Days
• Field of Search: 707/6, 707/102, 707/4, 707/10
• US Class Current: 1/1
• CPC Class Codes: G06F 16/93 Document management systems
• CPC Class Codes: G06F 16/94 Hypermedia Hyperlinking G06F40/134
• CPC Class Codes: G06N 5/022 Knowledge engineering; Knowledge acquisition
• CPC Class Codes: G06N 7/01 Probabilistic graphical models, e.g. probabilistic networks
• CPC Class Codes: Y10S 707/99934 Query formulation, input preparation, or translation
• CPC Class Codes: Y10S 707/99937 Sorting
• CPC Class Codes: Y10S 707/99942 Manipulating data structure, e.g. compression, compaction, compilation

Abstract

An information-retrieval system includes a server that receives queries for documents from client devices and means for outputting results of queries to the client devices, with the results provided in association with one or more interactive control features that are selectable to invoke display of information regarding entities, such as professionals, referenced in the results.

Claims

1. A hardware system comprising a processor and a memory coupled to the processor and comprising:

means for extracting one or more entity reference records from documents;

means for defining one or more entity records by merging one or more of the entity reference records with one or more other entity reference records;

means for categorizing one or more of the defined entity records based on a taxonomy;

means for defining links between one or more of the defined entity records and other documents or data sets;

graphical user interface means for defining a query related to an entity, for viewing one or more documents resulting from the query, and for selecting one or more of the defined links within a legal, financial, healthcare, scientific, or educational document and causing retrieval and display of at least a portion of the one defined entity record; and

means for defining profile records from the one or more entity reference records, wherein the means for defining the profile records comprises means for merging entity reference records that refer to a same person to create a profile record for that person;

wherein the means for merging comprises;

means for sorting the entity reference records by last name;

means for selecting an unmerged entity reference record and means for creating a profile record from the selected unmerged entity reference record; and

means for analyzing the unmerged entity reference record for determining a probability that a person in a profile record is the same person as referenced in the selected unmerged entity reference record.

2. The system of claim 1, wherein one or more of the recited means include one or more processors, a tangible computer-readable storage medium, display devices, and network communications, with the tangible computer-readable storage medium including coded instructions and data structures.

3. The system of claim 1, comprising means for categorizing the profile records by expertise of the persons in the profile records.

4. The system of claim 1, wherein the means for analyzing includes Bayesian matching.

5. The system of claim 4, comprising means for marking the entity reference record as merged when a computed match probability exceeds a threshold.

6. The system of claim 1, comprising means for adding information to the entity reference record including means for harvesting information from other databases and sources.

7. The system of claim 6, comprising means for computing a Bayesian match probability means for determining if the harvested information refers to a person of a particular entity reference record.

8. The system of claim 1, comprising:

means for determining types of the documents; and

means for extracting one or more entity reference records as a function of the types of the documents.

9. The system of claim 8, wherein the means for determining the types of the documents include means for identifying keywords in the documents.

10. The system of claim 1, wherein the entity reference record includes a personal name record, an organizational name record, a product name record, or a fact profile record.

11. The system of claim 10, comprising means for extracting information from the entity reference record as a function of one or more of a personal name, an organization name, a product name, or a particular fact.

12. A computer-implemented method comprising:

extracting one or more entity reference records from documents;

defining one or more entity records by merging one or more of the entity reference records with one or more other entity reference records;

categorizing one or more of the defined entity records based on a taxonomy;

defining links between one or more of the defined entity records and other documents or data sets;

providing network accessible graphical user interface means for defining a query related to an entity, for viewing one or more documents resulting from the query, and for selecting one or more of the defined links within a legal, financial, healthcare, scientific, or educational document and causing retrieval and display of at least a portion of the one defined entity record; and

defining a profile record from the one or more entity reference records, wherein defining the profile record comprises merging entity reference records that refer to a same person to create the profile record for that person;

wherein the merging comprises;

sorting the entity reference records by last name;

selecting an unmerged entity reference record and creating a profile record from the selected unmerged entity reference record; and

analyzing the unmerged entity reference record to determine a probability that a person in a profile record is the same person as referenced in the selected unmerged entity reference record.

13. The computer-implemented method of claim 12, comprising categorizing the profile record by expertise of the person in the profile record.

14. The computer-implemented method of claim 12, wherein the analyzing includes Bayesian matching.

15. The computer-implemented method of claim 12, comprising marking the entity reference record as merged when a computed match probability exceeds a threshold.

16. The computer-implemented method of claim 12, comprising adding information to the entity reference record by harvesting information from other databases and sources.

17. The computer-implemented method of claim 16, comprising computing a Bayesian match probability to determine if the harvested information refers to a person of a particular entity reference record.

18. The computer-implemented method of claim 12, comprising:

determining types of the documents; and

extracting one or more entity reference records as a function of the types of the documents.

19. The computer-implemented method of claim 18, wherein the determining the types of the documents includes identifying keywords in the documents.

20. The computer-implemented method of claim 12, wherein the entity reference record includes a personal name record, an organizational name record, a product name record, or a fact profile record.

21. The computer-implemented method of claim 20, comprising extracting information from the entity reference record as a function of one or more of a personal name, an organization name, a product name, or a particular fact.

22. A system comprising:

a processor configured for extracting one or more entity reference records from documents

a processor configured for defining one or more entity records by merging one or more of the entity reference records with one or more other entity reference records;

a processor configured for categorizing one or more of the defined entity records based on a taxonomy;

a processor configured for defining links between one or more of the defined entity records and other documents or data sets; and

a graphical user interface processor for defining a query related to an entity, for viewing one or more documents resulting from the query, and for selecting one or more of the defined links within a legal, financial, healthcare, scientific, or educational document and causing retrieval and display of at least a portion of the one defined entity record; and

a processor configured for defining profile records from the one or more entity reference records, wherein defining the profile records comprises a processor for merging entity reference records that refer to a same person to create a profile record for that person;

wherein the processor for merging comprises;

a processor configured for sorting the entity reference records by last name;

a processor configured for selecting an unmerged entity reference record and for creating a profile record from the selected unmerged entity reference record; and

a processor configured for analyzing the unmerged entity reference record to determine a probability that a person in a profile record is the same person as referenced in the selected unmerged entity reference record.

23. The system of claim 22, comprising a processor configured for categorizing the profile records by expertise of the persons in the profile records.

24. The system of claim 22, wherein the processor configured for analyzing includes Bayesian matching.

25. The system of claim 22, comprising a processor configured for marking the entity reference record as merged when a computed match probability exceeds a threshold.

26. The system of claim 22, comprising a processor configured for adding information to the entity reference record by harvesting information from other databases and sources.

27. The system of claim 26, comprising a processor configured for computing a Bayesian match probability to determine if the harvested information refers to a person of a particular entity reference record.

28. The system of claim 22, comprising:

a processor configured for determining types of the documents; and

a processor configured for extracting one or more entity reference records as a function of the types of the documents.

29. The system of claim 28, wherein the processor configured for determining the types of the documents include identifying keywords in the documents.

30. The system of claim 22, wherein the entity reference record includes a personal name record, an organizational name record, a product name record, or a fact profile record.

31. The system of claim 22, comprising a processor configured for extracting information from the entity reference record as a function of one or more of a personal name, an organization name, a product name, or a particular fact.

32. A system comprising:

one or more processors; and

a memory coupled to the one or more processors, wherein the memory includes instructions that when executed on the one or more processors execute a process comprising;

extracting one or more entity reference records from documents;

defining one or more entity records by merging one or more of the entity reference records with one or more other entity reference records;

categorizing one or more of the defined entity records based on a taxonomy;

defining links between one or more of the defined entity records and other documents or data sets; and

defining a query related to an entity, for viewing one or more documents resulting from the query, and for selecting one or more of the defined links within a legal, financial, healthcare, scientific, or educational document and causing retrieval and display of at least a portion of the one defined entity record;

defining profile records from the one or more entity reference records, wherein the means for defining the profile records comprises means for merging entity reference records that refer to a same person to create a profile record for that person;

wherein the means for merging comprises;

means for sorting the entity reference records by last name;

means for selecting an unmerged entity reference record and means for creating a profile record from the selected unmerged entity reference record; and

means for analyzing the unmerged entity reference record for determining a probability that a person in a profile record is the same person as referenced in the selected unmerged entity reference record.