Weighted annotation evaluation

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.

What is claimed is: 
     
         1 . A method for providing at least one annotation summary for a plurality of annotations associated with at least one analyzed unstructured data, the 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.