Open Text had 16 patents in future of work during Q2 2024. Open Text Corp’s patents in Q2 2024 focus on managing content, classification scanning using machine learning, augmented reality presentations, intelligent auto filing of documents, and case management systems. These patents aim to streamline processes related to content management, data classification, document organization, and case creation within enterprise environments. GlobalData’s report on Open Text gives a 360-degree view of the company including its patenting strategy. Buy the report here.
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Open Text had no grants in future of work as a theme in Q2 2024.
Recent Patents
Application: Linking business objects and documents (Patent ID: US20240184826A1)
The patent filed by Open Text Corp. discloses a method and system for managing content by linking content items with business objects. The method involves receiving an indication that a content item in a repository is associated with a business object in another repository, linking the content identifier to the business object identifier, and providing user access to the content item based on the association. This process allows for seamless integration and access to content across different applications and repositories.
The system includes repositories for managed content and business objects, a link record repository, a processor, and memory storing instructions for managing the content. By linking content items to business objects and providing user access based on this association, the system enables efficient content management and access control. The system can handle various actions related to the content items and business objects, such as displaying content, allowing actions to be performed, and granting access based on user credentials or specific actions. Overall, the method and system described in the patent aim to streamline content management processes and enhance user access to relevant information across different applications and repositories.
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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.
