HCL Technologies has been granted a patent for a computer-implemented method to maintain datasets with approximate constraints. The method involves managing an index in memory to indicate which tuples satisfy a constraint and which are exceptions, allowing efficient query processing based on the index. GlobalData’s report on HCL Technologies 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 HCL Technologies, AI for workflow management was a key innovation area identified from patents. HCL Technologies's grant share as of January 2024 was 56%. Grant share is based on the ratio of number of grants to total number of patents.
Maintaining dataset with approximate constraints using sharded bitmaps
A recently granted patent (Publication Number: US11880354B2) discloses a computer-implemented method for maintaining a dataset with approximate constraints. The method involves maintaining an index in memory for a dataset managed by a database management system, indicating which tuples satisfy a constraint and which are exceptions. The system processes queries on the dataset by optimizing the constraint and exception collections separately, merging the results to generate a final dataset. The method includes various operations such as cloning query subtrees, executing operators like distinct, join, and sort, and utilizing a cost model function to enhance query performance.
Furthermore, the patent describes a system for database operation that implements the method by maintaining the index and processing queries based on the constraint and exception collections. The system performs optimizations on both collections and merges the results to generate the final dataset. Additionally, a computer-readable medium containing executable code for database operation is disclosed, enabling the implementation of the method for maintaining datasets with approximate constraints. The code includes instructions for optimizing constraint and exception collections, merging query results, and improving query performance through various operations and functions outlined in the patent claims.
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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.
