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.
Claims
exact text as granted — not AI-modifiedWhat is claimed is:
1 . A computer program product for providing at least one annotation summary for a plurality of annotations associated with at least one analyzed unstructured data, comprising:
one or more computer-readable storage devices and program instructions stored on at least one of the one or more computer-readable storage devices, the program instructions executable by a processor, the program instructions comprising: program instructions to extract and receive 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; program instructions to receive the plurality of annotations associated with the at least one analyzed unstructured data from at least one common analysis structure (CAS); program instructions to sort the received plurality of annotations by sorting the received plurality of annotations based on at least one annotation type; program instructions to receive at least one focal point on the at least one analyzed unstructured data, wherein the at least one focal point is based on text; program instructions to extract the sorted plurality of annotations associated with the received at least one focal point; program instructions to normalize 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; program instructions to determine 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; program instructions to group the extracted plurality of annotations based on the determined at least one topic; program instructions to summarize the grouped plurality of annotations to generate at least one summarized annotation; program instructions to replace the extracted plurality of annotations with the at least one summarized annotation; program instructions to present 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, program instructions to display the extracted plurality of annotations associated with the at least one summarized annotation.Join the waitlist — get patent alerts
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