OneTrust had five patents in digitalization during Q4 2023. OneTrust LLC’s patent involves a method, system, and computer storage media for identifying clusters of similar digital documents using unique document signatures. This system tokenizes character strings in digital documents, generates a document signature based on these tokens, and compares it to signatures of other digital documents to determine similarity and form clusters. GlobalData’s report on OneTrust gives a 360-degreee view of the company including its patenting strategy. Buy the report here.
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OneTrust grant share with digitalization as a theme is 40% in Q4 2023. Grant share is based on the ratio of number of grants to total number of patents.
Recent Patents
Application: Identifying similar documents in a file repository using unique document signatures (Patent ID: US20230376542A1)
The patent by OneTrust LLC discloses a method, system, and computer-readable storage media for determining clusters of similar digital documents using unique document signatures. The system processes digital text in a document to tokenize character strings and generate a document signature by combining subsets of tokens. These document signatures are then compared to determine clusters of similar digital documents by analyzing the token sequences. The method involves selecting subsets of tokens based on frequency thresholds, concatenating tokens into sequences, and generating hash values to represent document signatures for comparison.
The system further includes processing hardware that arranges tokens based on frequency of occurrence, generates document signatures by selecting subsets of tokens, and determines clusters by comparing these signatures. The hardware is configured to cluster similar documents based on hash values generated from document signatures and generate similarity scores by comparing token values. Additionally, the system can create linked lists of digital document locations based on hash values, allowing for efficient organization and retrieval of similar documents. The non-transitory computer-readable medium contains instructions for generating ordered token lists, document signatures, and determining clusters of similar digital documents by comparing document signatures. The instructions include selecting subsets of tokens based on frequency, concatenating tokens into sequences, and generating hash values for comparison to identify similar documents.
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GlobalData Patent Analytics tracks bibliographic data, legal events data, point in time patent ownerships, and backward and forward citations from global patenting offices. Textual analysis and official patent classifications are used to group patents into key thematic areas and link them to specific companies across the world’s largest industries.
