IP Library Granted Patent US 10,042,835
Granted Patent B2
US 10,042,835 · App. 15/655,930 · Granted Aug 7, 2018

Weighted annotation evaluation

Inventors: Patrick W. Fink (Charlotte, NC); Kristin E. McNeil (Charlotte, NC); Philip E. Parker (York, SC); David B. Werts (Charlotte, NC)
Assignee: International Business Machines Corporation
G06F17/241G06F3/0485G06F3/04842
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Quick Facts
Patent No.
US 10,042,835
App. No.
15/655,930
Granted
Aug 7, 2018
Kind
B2
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.

Claims (14)

1. 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 from at least one common analysis structure (CAS);

sorting the received plurality of annotations by sorting the received plurality of annotations based on at least one annotation type;

receiving at least one focal point on the at least one analyzed unstructured data, wherein the at least one focal point is based on text;

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 based on at least one unified modeling language structure;

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 by 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;

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;

presenting the at least one summarized annotation in place of the extracted plurality of annotations on the at least one analyzed unstructured data; and

in response to receiving at least one user action, displaying the extracted plurality of annotations associated with the at least one summarized annotation.

Assignments (2)
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Sep 21, 2022
From: INTERNATIONAL BUSINESS MACHINES CORPORATION
To: MERATIVE US L.P.
Reel/Frame 061496/0752 →
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Jul 21, 2017
From: FINK, PATRICK W.; MCNEIL, KRISTIN E.; PARKER, PHILIP E.; WERTS, DAVID B.
To: INTERNATIONAL BUSINESS MACHINES CORPORATION
Reel/Frame 043059/0832 →
Continuity (2)
Continuation 15085106 · Mar 30, 2016
Related Publication 20170315977A1 · Nov 2, 2017