Palantir technologies inc. (20240354584). LANGUAGE MODEL-BASED TABULAR DATA OBJECT EXTRACTION AND VISUALIZATION simplified abstract

LANGUAGE MODEL-BASED TABULAR DATA OBJECT EXTRACTION AND VISUALIZATION

Organization Name

palantir technologies inc.

Inventor(s)

Anirvan Mukherjee of Brooklyn NY (US)

Craig De Souza of Jersey City NJ (US)

Edgar Gomes De Araujo of Sao Paulo (BR)

Johannes Beil of Copenhagen (DK)

Jessica Winssinger of New York NY (US)

Michael Zullo of Scarsdale NY (US)

Rushad Heerjee of New York NY (US)

Shubhankar Sachdev of New York NY (US)

LANGUAGE MODEL-BASED TABULAR DATA OBJECT EXTRACTION AND VISUALIZATION - A simplified explanation of the abstract

This abstract first appeared for US patent application 20240354584 titled 'LANGUAGE MODEL-BASED TABULAR DATA OBJECT EXTRACTION AND VISUALIZATION

The abstract of the patent application describes computer-implemented systems and methods that utilize language models for creating and/or updating an ontology.

• Receiving tabular data from data sources
• Generating an interactive graphical representation of the data and connections
• Providing the representation via a user interface
• Receiving user input to update an ontology and generate transformations for adding data objects into a database

Potential Applications: - Data management and organization - Knowledge representation and ontology development - Database integration and transformation

Problems Solved: - Efficiently updating ontologies - Visualizing complex data relationships - Streamlining database management processes

Benefits: - Improved data organization and accessibility - Enhanced ontology development - Streamlined database integration

Commercial Applications: Title: "Enhanced Data Management System for Efficient Ontology Development" This technology can be used in industries such as healthcare, finance, and e-commerce for better data organization and knowledge representation.

Questions about the technology: 1. How does this technology improve data management processes? 2. What are the potential challenges in implementing this system in different industries?

Frequently Updated Research: Stay updated on advancements in natural language processing and ontology development to enhance the effectiveness of this technology.

Original Abstract Submitted

computer-implemented systems and methods are disclosed, including systems and methods utilizing language models for creating and/or updating an ontology. a computer-implemented method may include: receiving tabular data from one or more data sources; generating an interactive graphical representation of at least a portion of the tabular data and connections between the portion of the tabular data; providing, via a user interface, the interactive graphical representation; receiving a user operation via the user interface, updating an ontology and/or generating transformations for adding data objects into a database.