Invention Grant
- Patent Title: Contextual-characteristic data driven sequential federated query methods for distributed systems
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Application No.: US18199539Application Date: 2023-05-19
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Publication No.: US12026169B2Publication Date: 2024-07-02
- Inventor: Charbel Joseph El Kaed , Stephen Dillon
- Applicant: SCHNEIDER ELECTRIC USA, INC.
- Applicant Address: US MA Andover
- Assignee: SCHNEIDER ELECTRIC USA, INC.
- Current Assignee: SCHNEIDER ELECTRIC USA, INC.
- Current Assignee Address: US MA Andover
- Agency: Lando & Anastasi, LLP
- Main IPC: G06F16/2458
- IPC: G06F16/2458 ; G06F16/25 ; G06F16/9038

Abstract:
Methods and systems are disclosed for a sequential federated query for information in a residential, commercial, and/or distributed system. A method of processing a sequential federated query for distributed systems may comprise receiving a sequential federated query; deconstructing the sequential federated query into query elements; identifying a Contextual-Characteristic Data Source (CCDS), a Transactional-Unstructured Data Source (TUDS), and a data organization parameter based on the query elements; generating a CCDS result data set from the CCDS based on the data organization parameter; processing the CCDS result data set to develop a TUDS query based on the data organization parameter; generating a TUDS result data set from the TUDS based on the developed TUDS query and the data organization parameter; generating a final sequential federated query data set based on the TUDS result data set and the data organization parameters; processing a formatted sequential federated query data set based on the processing of the final sequential federated query data set and the data organization parameter; and providing the formatted sequential federated query data set to a management system for action.
Public/Granted literature
- US20230306036A1 CONTEXTUAL-CHARACTERISTIC DATA DRIVEN SEQUENTIAL FEDERATED QUERY METHODS FOR DISTRIBUTED SYSTEMS Public/Granted day:2023-09-28
Information query