FMR has been granted a patent for a method that aggregates a dependency structure using various data sources, including application logging and customer intent. The method generates a knowledge graph and visualizes it for user interaction, enhancing understanding of user activity within a networked system. GlobalData’s report on FMR 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 FMR, AI for workflow management was a key innovation area identified from patents. FMR's grant share as of June 2024 was 53%. Grant share is based on the ratio of number of grants to total number of patents.
Generating and visualizing a knowledge graph from application data
The patent US12039459B2 outlines a computerized method and system for generating and visualizing a knowledge graph that utilizes a dependency structure derived from various data sources. The method involves analyzing an aggregated dependency structure based on application logging data, application metadata, customer intent and journey data, organizational structure data, and operational support information. A server computing device generates a knowledge graph from this analysis, which consists of multiple nodes interconnected by relationships. The system is designed to traverse the knowledge graph in response to graph queries, which are formulated from question-and-answer patterns received from remote devices. The results are then visualized graphically and displayed on user devices.
Additionally, the patent specifies that the server computing device periodically receives the necessary data and that each node in the knowledge graph can represent various elements such as application resources, tasks, and customer journeys. The connections between nodes indicate dependencies, and each node may include attributes that correspond to subject-predicate-object triples. The method also incorporates Natural Language Processing (NLP) to convert user queries into graph queries. Furthermore, the server generates the aggregated dependency structure by analyzing user activity, determining tasks, and identifying responsible organizational groups, thereby creating a comprehensive framework for understanding and visualizing complex interdependencies within a computing ecosystem.
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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.
