Alation has been granted a patent for a method utilizing natural language processing to query and analyze datasets while maintaining context. The computer-implemented method involves receiving user input, identifying previous data conversation steps, determining an effective schema, generating query language statements, executing queries, and communicating results. GlobalData’s report on Alation 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 Alation, Industrial data mgmt systems was a key innovation area identified from patents. Alation's grant share as of May 2024 was 10%. Grant share is based on the ratio of number of grants to total number of patents.
Method for querying datasets using natural language processing
A recently granted patent (Publication Number: US12013850B2) discloses a computer-implemented method that involves receiving user utterances directed at querying a data query engine, identifying previous steps in a data conversation, determining an effective schema using a machine learning model, generating structured query language statements, executing them, and communicating the results back to the user interface. The method also includes displaying holistic and detailed views of data conversations, schema views, topic views, and natural language explanations of actions performed by the executable structured query language statement.
Furthermore, the method involves extracting calculations and metric names from the utterance, encoding them in the effective schema, displaying entities and queryable attributes in a topic view, expanding SQL keywords with user intent keywords, converting utterances directly to executable query language statements, and communicating confidence levels of translations. The user interface also allows for saving and replaying data conversations, displaying result sets with various options like graphing, filtering, and sorting, as well as displaying schema columns and related columns in the result set. Additionally, the method includes using schema columns in 'LIKE'-type comparisons, substituting words in the utterance, and displaying the result set in a spreadsheet view.
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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.
