Palantir technologies inc. (20240320885). ONTOLOGY-BACKED AUTOMATIC CHART CREATION simplified abstract
Contents
ONTOLOGY-BACKED AUTOMATIC CHART CREATION
Organization Name
Inventor(s)
Daniel Cervelli of Mountain View CA (US)
Timothy Slatcher of Menlo Park CA (US)
Adam Storr of Palo Alto CA (US)
ONTOLOGY-BACKED AUTOMATIC CHART CREATION - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240320885 titled 'ONTOLOGY-BACKED AUTOMATIC CHART CREATION
Simplified Explanation:
The patent application describes systems and methods for creating filtered data using graphical methodology. The stored data, linked relationally by an ontology, can be represented in rows and columns format. The system allows users to select data sources, display them in charts, apply filters, and visualize the filtered data in various charts.
- The system allows users to select data sources and display them in charts.
- Users can apply filters to the data based on identified portions of the charts.
- The system displays linked object sets and indicators in sidebars for easy navigation.
- Users can visualize filtered data in different charts based on applied filters.
- The system enables users to identify portions of charts and generate filters accordingly.
Key Features and Innovation:
- Creation of filtered data using graphical methodology.
- Representation of stored data in rows and columns format.
- Use of ontology to link data relationally.
- Selection of data sources and application of filters.
- Visualization of filtered data in various charts.
Potential Applications:
The technology can be applied in data analysis, business intelligence, research, and decision-making processes.
Problems Solved:
The technology addresses the need for efficient data filtering and visualization in a user-friendly manner.
Benefits:
- Improved data analysis and decision-making.
- Enhanced visualization of complex data sets.
- Streamlined data filtering processes.
Commercial Applications:
The technology can be utilized in industries such as finance, healthcare, marketing, and research for data analysis and visualization purposes.
Questions about the Technology:
1. How does the system handle large volumes of data for filtering and visualization? 2. What are the security measures in place to protect the stored data and ontology links?
Frequently Updated Research:
Stay updated on advancements in data visualization techniques and ontology-based data management for potential improvements in the technology.
Original Abstract Submitted
systems and methods for creating filtered data using graphical methodology. stored data relationally-linked by an ontology are representable in rows and columns format. the system receives a first input selecting a first data source, displays a portion of the first data source in a first chart, receives a second input identifying a portion of the first chart, generates a first filter based on the identified portion, receives a third input selecting a linked object set, displays an indicator of the linked object set in a second sidebar, displays a portion of the linked object set in a second chart depicting information of the linked object set filtered by the first filter, receives a fourth input identifying a portion of the second chart, generates a second filter based on the identified portion, and displays fields of the linked object set, filtered by the first and second filter, in a third chart.
