Palantir technologies inc. (20240354325). EFFICIENT DATA INDEXING ACROSS MULTIPLE ONTOLOGY-BASED DATABASES simplified abstract
Contents
EFFICIENT DATA INDEXING ACROSS MULTIPLE ONTOLOGY-BASED DATABASES
Organization Name
Inventor(s)
JAMES Baker of Maidenhead (GB)
SAMUEL FLAVIO BARROSO Souza of London (GB)
AMR AL Mallah of Tacoma WA (US)
YIXUN Xu of Jersey City NJ (US)
ARSENY Bogomolov of Arlington VA (US)
EFFICIENT DATA INDEXING ACROSS MULTIPLE ONTOLOGY-BASED DATABASES - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240354325 titled 'EFFICIENT DATA INDEXING ACROSS MULTIPLE ONTOLOGY-BASED DATABASES
Simplified Explanation: The patent application describes a system for indexing changes to an ontology into multiple databases and related methods.
- Receives original data from data sources
- Transforms original data to ontology data
- Represents ontology data in multiple forms in multiple databases
- Processes requests to access ontology data from user accounts
- Merges changes to the ontology data based on updates from data sources and edits from user accounts
- Creates index data for the merged changes
- Transmits the index data to the multiple databases
Key Features and Innovation: - System for indexing changes to an ontology - Multiple databases used for storing ontology data - Ability to merge changes based on updates and edits - Creation of index data for merged changes
Potential Applications: The technology can be applied in various fields such as data management, knowledge organization, and information retrieval systems.
Problems Solved: - Efficiently managing changes to an ontology - Ensuring consistency in ontology data across multiple databases - Facilitating access to ontology data for user accounts
Benefits: - Improved data organization and management - Enhanced accessibility to ontology data - Streamlined process for updating ontology information
Commercial Applications: Title: "Ontology Data Indexing System for Enhanced Data Management" This technology can be utilized in industries such as healthcare, finance, and e-commerce for better data organization and retrieval, leading to improved decision-making processes and customer experiences.
Questions about Ontology Data Indexing System: 1. How does the system ensure the accuracy of merged changes in the ontology data? 2. What are the security measures in place to protect the ontology data stored in multiple databases?
Original Abstract Submitted
a system for indexing changes to an ontology into multiple databases and related methods are disclosed. the system is programmed to receive original data from data sources, transform the original data to ontology data, represent the ontology data in multiple forms respectively in the multiple databases, and process requests to access the ontology data from user accounts using the multiple databases. the system is programmed to subsequently merge changes to the ontology data based on updates from the data sources and edits from user accounts, create index data for the merged changes, and transmit the index data to the multiple databases.
