Box. has been granted a patent for a method that processes various content objects to identify and associate personally identifiable information (PII) with entities. The method utilizes a graph-oriented data structure to establish coreferences between PII linked to named individuals and their aliases, enhancing data retrieval and association. 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 June 2024 was 64%. Grant share is based on the ratio of number of grants to total number of patents.
Method for associating personally identifiable information using entity graphs
The granted patent US12008045B2 outlines a method and system for associating personally identifiable information (PII) with entities derived from multiple content objects. The core of the invention involves constructing an entity graph that includes nodes representing PII and corresponding entities. The method processes queries to identify direct and indirect associations between these nodes and content objects, utilizing scores to rank these associations. By traversing connections within the entity graph, the system can identify common PII nodes and formulate a result set that includes relevant information about the entities involved. Additionally, the method allows for the identification of identical entities by augmenting the graph with connections based on shared PII.
Further, the patent details the use of linguistic analysis and natural language processing to enhance the accuracy of entity identification. This includes decomposing passages to recognize grammatical structures that may indicate relationships between PII and entities. The system is designed to operate efficiently, requiring less memory for the entity graph compared to the original content objects. The patent also emphasizes compliance with PII detection rules and preferences, ensuring that the results produced by the system can be aligned with regulatory requirements. Overall, the invention provides a structured approach to managing and associating PII across diverse data sources, enhancing the ability to identify and connect entities accurately.
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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.
