Box has been granted a patent for a method that associates personally identifiable information with an entity from various content objects. The method involves processing queries to establish connections between different portions of a graph-oriented data structure, allowing for the identification and linking of PII nodes. GlobalData’s report on Box gives a 360-degree view of the company including its patenting strategy. Buy the report here.
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According to GlobalData’s company profile on Box, AI for workflow management was a key innovation area identified from patents. Box's grant share as of May 2024 was 33%. Grant share is based on the ratio of number of grants to total number of patents.
Method for associating personally identifiable information to an entity
A recently granted patent (Publication Number: US12008045B2) discloses a method for associating personally identifiable information (PII) to an entity from multiple content objects. The method involves identifying an entity graph consisting of PII nodes and entity nodes, processing queries to determine associations between content objects and entities, and formulating query result sets based on these associations. The method also includes determining if different entity nodes refer to the same entity by analyzing common PII nodes and augmenting the entity graph accordingly. Additionally, the patent covers querying the entity graph to identify PII nodes, entity nodes, or content objects containing PII, and presenting results to comply with PII detection rules or preferences. The method utilizes linguistic analysis, classification models, and memory optimization techniques to efficiently handle PII associations and entity identification.
Furthermore, the patent extends to a non-transitory computer-readable medium and a system implementing the method described above. The computer-readable medium stores instructions for executing the PII association method, including identifying entity graphs, processing queries, and performing linguistic analysis to determine entity relationships. The system comprises a storage medium and processors to execute the instructions, facilitating the efficient association of PII with entities from various content objects. By incorporating memory optimization techniques, linguistic analysis, and compliance with PII detection rules, the system provides a comprehensive approach to managing PII associations and entity identification in a structured and efficient manner.
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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.
