HCL Technologies has been granted a patent for a method and system that enables profile-based data access and visualization through a semantic domain layer. The process involves user requests, profile determination, access level extraction, domain object mapping, and selective data rendering based on user profiles. GlobalData’s report on HCL Technologies 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 HCL Technologies, AI for workflow management was a key innovation area identified from patents. HCL Technologies's grant share as of July 2024 was 55%. Grant share is based on the ratio of number of grants to total number of patents.
Profile-based data access and visualization through semantic layers
The patent US12072915B2 outlines a method and system for providing profile-based data and visualization access through a semantic domain layer. The process begins with receiving a user request for data, followed by the determination of a user profile from a set of profiles associated with various users. The semantic domain layer extracts an access level linked to the user profile and maps it to a domain object based on a corresponding access level. This mapping allows for the selective rendering of data requested by the user, ensuring that only relevant information is presented based on the user's profile and access rights.
Additionally, the patent details the creation of domain objects that are linked to the semantic domain layer, including the assignment of access levels such as public, private, and protected. The method involves selecting data sources and identifying tables associated with these domain objects, as well as assigning access levels to individual fields within these tables. The system also allows for the creation of user profiles based on various attributes, such as employee ID and organization ID, and supports data visualization in predefined formats. Overall, the patent emphasizes a structured approach to managing data access and visualization tailored to user profiles, enhancing data security and usability.
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