Weighted annotation evaluation

Patent metadata

Field	Value
Publication number	US-10318622-B2
Application number	US-201615085106-A
Country	US
Kind code	B2
Filing date	Mar 30, 2016
Priority date	Mar 30, 2016
Publication date	Jun 11, 2019
Grant date	Jun 11, 2019

Abstract

A method for providing annotation summaries for annotations is provided. The method may include receiving annotations associated with analyzed unstructured data. The method may further include sorting the received annotations. Additionally, the method may include receiving focal points on the analyzed unstructured data. The method may also include extracting the sorted annotations associated with the focal points. The method may further include normalizing terms and phrases associated with the extracted annotations. The method may also include determining topics based on the normalized terms and phrases associated with the extracted annotations. The method may further include grouping the extracted annotations based on the determined topics. The method may also include summarizing the grouped annotations to generate a summarized annotation. The method may further include replacing the extracted annotations with the summarized annotation. The method may also include presenting the summarized annotation in place of the extracted annotations.

First claim

What is claimed is:

1. A computer-implemented method for providing at least one annotation summary for a plurality of annotations associated with at least one analyzed unstructured data, comprising:
one or more processors, one or more computer-readable memories, or one or more non-transitory computer-readable storage devices capable of performing the computer-implemented method comprising:
extracting and receiving the at least one analyzed unstructured data, wherein the at least one analyzed unstructured data is associated with a document based on an audio, video, or image file;
receiving the plurality of annotations associated with the at least one analyzed unstructured data;
sorting the received plurality of annotations;
receiving at least one focal point on the at least one analyzed unstructured data;
extracting the sorted plurality of annotations associated with the received at least one focal point;
normalizing a plurality of terms and a plurality of phrases associated with the extracted plurality of annotations;
determining at least one topic based on the normalized plurality of terms and the normalized plurality of phrases associated with the extracted plurality of annotations;
grouping the extracted plurality of annotations based on the determined at least one topic;
summarizing the grouped plurality of annotations to generate at least one summarized annotation;
replacing the extracted plurality of annotations with the at least one summarized annotation; and
presenting the at least one summarized annotation in place of the extracted plurality of annotations on the at least one analyzed unstructured data.

2. The computer-implemented method of claim 1 , wherein receiving the plurality of annotations associated with the at least one analyzed unstructured data further comprises:
receiving the at least one analyzed unstructured data and the plurality of annotations from at least one common analysis structure (CAS).

3. The computer-implemented method of claim 1 , wherein sorting the received plurality of annotations further comprises:
sorting the received plurality of annotations based on at least one annotation type.

4. The computer-implemented method of claim 1 , wherein the at least one focal point is selected from a group comprising at least one of a term focal point, a phrase focal point, a sentence focal point, a paragraph focal point, a section focal point, and a document focal point.

5. The computer-implemented method of claim 1 , wherein normalizing the plurality of terms and the plurality of phrases associated with the extracted plurality of annotations further comprises:
normalizing the plurality of terms and the plurality of phrases based on at least one unified modeling language structure.

6. The computer-implemented method of claim 1 , wherein determining the at least one topic further comprises:
comparing the normalized terms and the normalized phrases associated with the extracted annotations to at least one ontology associated with the analyzed unstructured data; and
scoring the normalized terms and the normalized phrases associated with the extracted annotations based on the comparison and at least one relation threshold value.

7. The computer-implemented method of claim 1 , further comprising:
receiving at least one user action on the at least one summarized annotation, wherein the at least one user action is selected from a group comprising at least one of a scroll over the at least one summarized annotation and a click on the at least one summarized annotation; and
in response to receiving the at least one user action, displaying the extracted plurality of annotations associated with the at least one summarized annotation.

8. A computer system for providing at least one annotation summary for a plurality of annotations associated with at least one analyzed unstructured data, comprising:
one or more processors, one or more computer-readable memories, one or more computer-readable tangible storage devices, and program instructions stored on at least one of the one or more storage devices for execution by at least one of the one or more processors via at least one of the one or more memories, wherein the computer system is capable of performing a method comprising:
extracting and receiving the at least one analyzed unstructured data, wherein the at least one analyzed unstructured data is associated with a document based on an audio, video, or image file;
receiving the plurality of annotations associated with the at least one analyzed unstructured data;
sorting the received plurality of annotations;
receiving at least one focal point on the at least one analyzed unstructured data;
extracting the sorted plurality of annotations associated with the received at least one focal point;
normalizing a plurality of terms and a plurality of phrases associated with the extracted plurality of annotations;
determining at least one topic based on the normalized plurality of terms and the normalized plurality of phrases associated with the extracted plurality of annotations;
grouping the extracted plurality of annotations based on the determined at least one topic;
summarizing the grouped plurality of annotations to generate at least one summarized annotation;
replacing the extracted plurality of annotations with the at least one summarized annotation; and
presenting the at least one summarized annotation in place of the extracted plurality of annotations on the at least one analyzed unstructured data.

9. The computer system of claim 8 , wherein receiving the plurality of annotations associated with the at least one analyzed unstructured data further comprises:
receiving the at least one analyzed unstructured data and the plurality of annotations from at least one common analysis structure (CAS).

10. The computer system of claim 8 , wherein sorting the received plurality of annotations further comprises:
sorting the received plurality of annotations based on at least one annotation type.

11. The computer system of claim 8 , wherein the at least one focal point is selected from a group comprising at least one of a term focal point, a phrase focal point, a sentence focal point, a paragraph focal point, a section focal point, and a document focal point.

12. The computer system of claim 8 , wherein normalizing the plurality of terms and the plurality of phrases associated with the extracted plurality of annotations further comprises:
normalizing the plurality of terms and the plurality of phrases based on at least one unified modeling language structure.

13. The computer system of claim 8 , wherein determining the at least one topic further comprises:
comparing the normalized terms and the normalized phrases associated with the extracted annotations to at least one ontology associated with the analyzed unstructured data; and
scoring the normalized terms and the normalized phrases associated with the extracted annotations based on the comparison and at least one relation threshold value.

14. The computer system of claim 8 , further comprising:
receiving at least one user action on the at least one summarized annotation, wherein the at least one user action is selected from a group comprising at least one of a scroll over the at least one summarized annotation and a click on the at least one summarized annotation; and
in response to receiving the at least one user action, displaying the extracted plurality of annotations associated with the at least one summarized annotation.

15. A computer program product for providing at least one annotation summary for a plura

Assignees

• IBM

Inventors

• Fink Patrick W
• Mcneil Kristin E
• Parker Philip E
• Werts David B

Classifications

• G06F3/0485

  Scrolling or panning · CPC title

• G06F3/04842

  Selection of displayed objects or displayed text elements (G06F3/0482 takes precedence) · CPC title

• G06F40/169 Primary

  Annotation, e.g. comment data or footnotes · CPC title

• G06F17/241 Primary

  Physics · mapped topic