Extensible system and method for information extraction in a data processing system

Patent metadata

Field	Value
Publication number	US-9418069-B2
Application number	US-78814210-A
Country	US
Kind code	B2
Filing date	May 26, 2010
Priority date	May 26, 2010
Publication date	Aug 16, 2016
Grant date	Aug 16, 2016

Abstract

A data mashup system having information extraction capabilities for receiving multiple streams of textual data, at least one of which contains unstructured textual data. A repository stores annotators that describe how to analyze the streams of textual data for specified unstructured data components. The annotators are applied to the data streams to identify and extract the specified data components according to the annotators. The extracted data components are tagged to generate structured data components and the specified unstructured data components in the input data streams are replaced with the tagged data components. The system then combines the tagged data from the multiple streams to form a mashup output data stream.

First claim

We claim:

1. A system for performing a data mashup including information extraction capabilities, comprising:
a processor; and
a computer-readable storage medium coupled to the processor, wherein the computer-readable storage medium stores computer program instructions, and wherein the computer program instructions are executed by the processor to perform:
receiving multiple streams of textual data, wherein at least one stream of textual data contains unstructured textual data;
storing in a repository annotators describing how to analyze the multiple streams of textual data for unstructured data components that are identified by information contained in the annotators;
receiving an annotate request to apply a specified set of annotators from the stored annotators to the unstructured textual data;
applying the specified set of annotators to the unstructured textual data to identify and extract a plurality of unstructured data components according to the specified set of annotators, wherein the plurality of unstructured data components are contained in the unstructured textual data;
tagging the extracted, unstructured data components to generate tagged, structured data components;
for each portion of the unstructured textual data corresponding to at least one tagged, structured data component of the generated tagged, structured data components, adding the at least one tagged, structured data component to that portion of the unstructured textual data; and
combining the multiple streams of textual data, including the at least one stream of textual data having the generated tagged, structured data components, to form a mashup output data stream.

2. The system of claim 1 , wherein the computer program instructions are executed by the processor to perform:
an annotator development environment allowing the design of new annotators and the uploading of the new annotators to the repository.

3. The system of claim 1 , wherein the computer program instructions are executed by the processor to perform:
searching the repository for annotators.

4. The system of claim 2 , wherein the annotator development environment and the information extraction capabilities comprise a tightly-integrated client-server system.

5. The system of claim 1 , wherein the computer program instructions are executed by the processor to perform:
storing at least two annotators having identical names and version identifiers in a single active version of the repository; and
allowing the extraction of unstructured data components to be extracted according to different versions of the at least two annotators.

6. The system of claim 5 , wherein the version identifiers comprise timestamps.

7. The system of claim 5 , wherein the computer program instructions are executed by the processor to perform:
receiving a search request against the repository to return executable annotation rules that were current as of a version timestamp.

8. The system of claim 1 , wherein each different version of an annotator includes a timestamp.

9. The system of claim 1 , wherein the computer program instructions are executed by the processor to perform:
receiving a search request against the repository to return annotation rules that were current at a time a currently executing data stream was created.

10. The method of claim 1 , wherein the computer program instructions are executed by the processor to perform:
receiving a search request from a client application against the repository to return a current list of available annotation rules.

11. A computer-readable storage medium containing program code for performing a data mashup including information extraction capabilities, comprising:
code for receiving multiple streams of textual data, wherein at least one stream of textual data contains unstructured textual data;
code for storing in a repository annotators describing how to analyze the multiple streams of textual data for unstructured data components that are identified by information contained in the annotators;
code for receiving an annotate request to apply a specified set of annotators from the stored annotators to the unstructured textual data;
code for applying the specified set of annotators to the unstructured textual data to identify and extract a plurality of unstructured data components according to the specified set of annotators, wherein the plurality of unstructured data components are contained in the unstructured textual data;
code for tagging the extracted, unstructured data components to generate tagged, structured data components;
code for, for each portion of the unstructured textual data corresponding to at least one tagged, structured data component of the generated tagged, structured data components, adding the at least one tagged, structured data component to that portion of the unstructured textual data; and
code for combining the multiple streams of textual data, including the at least one stream of textual data having the generated tagged, structured data components, to form a mashup output data stream.

12. The computer-readable storage medium of claim 11 , further comprising:
code for an annotator development environment for designing new annotators and for uploading the new annotators to the repository.

13. The computer-readable storage medium of claim 12 , wherein the stored code tightly integrates the annotator development environment and the information extraction capabilities into a client-server system.

14. The computer-readable storage medium of claim 11 , further comprising:
code for searching the repository for annotators.

15. The computer-readable storage medium of claim 11 , further comprising:
code for storing at least two annotators having identical names and version identifiers in a single active version of the repository; and
code for allowing the extraction of unstructured data components to be extracted according to different versions of the at least two annotators.

16. The computer-readable storage medium of claim 15 , wherein the code for storing version identifiers further comprises:
code for storing timestamps.

17. The computer-readable storage medium of claim 15 , wherein each different version of an annotator includes a timestamp.

18. The computer-readable storage medium of claim 15 , further comprising:
code for receiving a search request against the repository to return executable annotation rules that were current as of a version timestamp.

19. The computer-readable storage medium of claim 11 , further comprising:
code for receiving a search request against the repository to return annotation rules that were current at a time a currently executing data stream was created.

20. The computer-readable storage medium of claim 11 , further comprising:
code for receiving a search request from a client application against the repository to return a current list of available annotation rules.

Assignees

• Li Yunyao
• Reiss Frederick Ralph
• Simmen David Everett
• Thalamati Suresh
• IBM

Inventors

• Li Yunyao
• Reiss Frederick Ralph
• Simmen David Everett
• Thalamati Suresh

Classifications

• G06F17/30082 Primary

  Physics · mapped topic

• G06F16/313 Primary

  Selection or weighting of terms for indexing · CPC title

• G06F16/122 Primary

  using management policies (point-in-time backing up or restoration of persistent data G06F11/1446; file migration policies for HSM systems G06F16/185) · CPC title