MicroStrategy has been granted a patent for a computer-implemented method that enhances search integration by analyzing datasets referenced in documents to generate contextually relevant words for search queries. The method ranks search results based on matches with the extracted words, improving the accuracy of search responses. GlobalData’s report on MicroStrategy 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 MicroStrategy, AI for workflow management was a key innovation area identified from patents. MicroStrategy's grant share as of February 2024 was 89%. Grant share is based on the ratio of number of grants to total number of patents.
Search integration method for structured data and search results
The granted patent (Publication Number: US11921715B2) discloses a computer-implemented method that involves determining if a document contains a reference to a dataset used to generate a visualization, extracting contextually relevant words from the dataset, receiving and associating queries with the document, identifying responsive results, comparing results with extracted words, ranking results based on matches, and generating a response to the query. The method also includes generating additional queries and responses, updating contextually relevant words based on changes in the dataset or visualization, and updating the visualization itself. The system and non-transitory computer-readable medium storing software for implementing this method are also described in the patent.
Furthermore, the patent details additional features such as receiving queries through a query input field in the document, updating contextually relevant words based on changes in the dataset or visualization, and including words from axis labels, legends, or titles of the visualization in the extracted set of contextually relevant words. The method also involves detecting changes in the dataset or visualization, updating the set of contextually relevant words accordingly, and generating responses that include a portion of the dataset used for visualization. The patent covers scenarios where the dataset is stored in a database, the visualization includes graphs or charts, and the document references the dataset used for visualization. Overall, the patent outlines a comprehensive approach to enhancing search and retrieval processes based on contextually relevant words extracted from datasets used for visualizations in documents.
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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.
