EXTENSIBLE SURFACE FOR CONSUMING INFORMATION EXTRACTION SERVICES

• US 20120226715A1
• Filed: 03/04/2011
• Published: 09/06/2012
• Est. Priority Date: 03/04/2011
• Status: Active Grant

• Current Assignee: Microsoft Technology Licensing LLC (Microsoft Corporation)
• Original Assignee: Microsoft Corporation
• Inventors: DeRose, Pedro Dantas
• Granted Patent: US 9,064,004 B2
• Time in Patent Office: Days
• US Class Current: 707/792
• CPC Class Codes: G06F 16/254 Extract, transform and load [ETL] procedures, e.g. ETL data flows in data warehouses
• CPC Class Codes: G06F 16/284 Relational databases
• CPC Class Codes: G06F 16/30 of unstructured textual data document management systems G06F16/93
• CPC Class Codes: G06F 16/35 Clustering; Classification
• CPC Class Codes: G06F 40/30 Semantic analysis

Abstract

Representing structured data extracted from unstructured data in fashion allowing querying using relational database concepts. A method includes receiving user input specifying one or more database views. The method further includes receiving user input specifying an information extraction technique, such as an extraction workflow. The method further includes receiving user input specifying a corpus of data. The extraction technique is applied to the corpus of data to produce the one or more database views. These views can then be queried or operated on using database tools.

Claims

1. In a computing environment, a method of representing structured data extracted from unstructured data in fashion allowing querying using relational database concepts the method comprising:

receiving user input specifying one or more database views;

receiving user input specifying an information extraction technique;

receiving user input specifying a corpus of data; and

applying the extraction technique to the corpus of data to produce the one or more database views.

2. The method of claim 1, wherein the one or more or more views comprises one or more ad hoc views for a single query.

3. The method of claim 1, wherein multiple views are specified as a collection of views.

4. The method of claim 1, further comprising receiving additional options related to the extraction technique.

5. The method of claim 1, further comprising performing one or more queries on the produced views.

6. The method of claim 1, wherein applying the extraction technique further produces procedures.

7. The method of claim 6, wherein the procedures define methods of operating on the one or more views.

8. The method of claim 1, wherein the extraction technique comprises a semantic extraction technique

9. The method of claim 1, wherein the extraction technique comprises a property promotion.

10. The method of claim 1, wherein the extraction technique comprises a relationship identification.

11. The method of claim 1, wherein the extraction technique comprises a entity recognition or entity extraction.

12. The method of claim 1, wherein the extraction technique comprises entity disambiguation.

13. The method of claim 1, wherein the one or more views represent a graph.

14. The method of claim 1, wherein the one or more views represent tabular data.

15. The method of claim 1, wherein the extraction technique comprises pattern recognition.

16. One or more physical computer readable storage media comprising computer executable instructions that when executed by one or more processors cause the following to be performed:

accept user input specifying one or more database views;

accept user input specifying an information extraction technique;

accept user input specifying a corpus of data; and

apply the extraction technique to the corpus of data to produce the one or more database views.

17. The one or more physical computer readable storage media of claim 16, wherein the one or more or more views comprises one or more ad hoc views for a single query.

18. The one or more physical computer readable storage media of claim 16, wherein the one or more views is a single view that is itself a collection of views.

19. The one or more physical computer readable storage media of claim 16, wherein applying the extraction technique further produces procedures.

20. In a computing environment, a system for representing structured data extracted from unstructured data in fashion allowing querying using relational database concepts the system comprising:

one or more processors;

one or more physical computer readable storage media coupled to the one or more processors, wherein at least a portion of the one or more physical computer readable storage media coupled to the one or more processors stores one or more corpuses of data;

one or more modules comprising computer executable instructions stored on at least a portion of the one or more physical computer readable storage media coupled to the one or more processors that when executed by a processors causes data to be extracted from one or more of the corpuses and transformed into one or more database views;

one or more modules comprising computer executable instructions stored on at least a portion of the one or more physical computer readable storage media coupled to the one or more processors that when executed by a processors causes user input specifying one or more database views to be accepted;

one or more modules comprising computer executable instructions stored on at least a portion of the one or more physical computer readable storage media coupled to the one or more processors that when executed by a processors causes user input specifying an information extraction technique from among the one or more modules comprising computer executable instructions stored on at least a portion of the one or more physical computer readable storage media coupled to the one or more processors that when executed by a processors causes data to be extracted from one or more of the corpuses and transformed into one or more database views to be accepted;

one or more modules comprising computer executable instructions stored on at least a portion of the one or more physical computer readable storage media coupled to the one or more processors that when executed by a processors causes user input specifying a corpus of data from among the one or more corpuses of data to be accepted; and

one or more modules comprising computer executable instructions stored on at least a portion of the one or more physical computer readable storage media coupled to the one or more processors that when executed by a processors causes the extraction technique to be applied to the corpus of data to produce the one or more database views.