Alation. has been granted a patent for a method that utilizes natural language processing to query and analyze datasets while maintaining context. The method involves receiving user utterances, identifying previous conversation steps, determining an effective schema, and generating executable structured query language statements to retrieve 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 July 2024 was 50%. Grant share is based on the ratio of number of grants to total number of patents.
Natural language processing for querying datasets contextually
The granted patent US12013850B2 outlines a computer-implemented method for enhancing user interaction with a data query engine through natural language processing. The method begins with a user interface receiving an utterance that queries the data engine. It identifies previous steps in the data conversation, utilizing a machine learning model to determine an effective schema based on the current utterance and prior interactions. This process involves generating an intermediate structured query language (SQL) statement, which is then transformed into an executable SQL statement tailored to the specific dialect of the data query engine. The results of this execution, along with relevant metadata, are communicated back to the user interface.
Further claims detail the user interface's capabilities, including displaying holistic and detailed views of data conversations, schema views, and topic views that categorize entities and their attributes. The method also encompasses extracting calculations and metric names from the utterance, expanding SQL keywords to include user intent, and providing natural language explanations of the executed actions. Additional functionalities allow users to save, replay, and manipulate data conversations, as well as view results in various formats, such as spreadsheets. Overall, the patent emphasizes a sophisticated integration of machine learning and user interface design to facilitate intuitive data querying and interaction.
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