Boeing had 17 patents in digitalization during Q1 2024. Boeing Co filed patents in Q1 2024 for a system generating an ontological knowledge graph using ontology and contextual data, displayed in a spherically represented data structure. Another patent involves a method for matching material names with safety data sheet material names, extracting, preprocessing, and comparing to identify matches. Additionally, a system includes a processor executing a digital system model to generate simulated data, training a surrogate model to approximate the system model, and updating a digital twin of the system based on simulation data and operational data. GlobalData’s report on Boeing gives a 360-degree view of the company including its patenting strategy. Buy the report here.
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Boeing grant share with digitalization as a theme is 64% in Q1 2024. Grant share is based on the ratio of number of grants to total number of patents.
Recent Patents
Application: Cross-domain ontology model visualization system with world metaphor orthography (Patent ID: US20240104399A1)
The patent filed by The Boeing Co. describes a system and method for generating a digital representation of an organization using an ontological knowledge graph. The system involves obtaining ontology and contextual data for multiple domains, creating a knowledge graph with nodes and links within a spherically represented data structure, and displaying this graph in a digital view. The system can also perform analytics on the knowledge graph to determine various network properties and align query sets with the graph results.
Additionally, the system defines knowledge containers as nodes representing explicit or tacit knowledge, and knowledge paths as connections between these containers. The digital view is a knowledge representation view within a spherical knowledge container, with terrain objects bordering the outer shell to reflect collective node metrics. The system can modify visual representations based on metric thresholds, determine critical paths and optimization, and provide navigation capabilities within the spherical knowledge container. Overall, the system aims to provide various forms of knowledge representations and enable efficient navigation and interrogation of the generated digital views.
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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.
