Palantir technologies inc. (20240211505). DETERMINING GEOLOCATIONS OF COMPOSITE ENTITIES BASED ON HETEROGENEOUS DATA SOURCES simplified abstract
Contents
DETERMINING GEOLOCATIONS OF COMPOSITE ENTITIES BASED ON HETEROGENEOUS DATA SOURCES
Organization Name
Inventor(s)
Peter Wilczynski of San Francisco CA (US)
Andrew Elder of New York NY (US)
Anand Gupta of New York NY (US)
DETERMINING GEOLOCATIONS OF COMPOSITE ENTITIES BASED ON HETEROGENEOUS DATA SOURCES - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240211505 titled 'DETERMINING GEOLOCATIONS OF COMPOSITE ENTITIES BASED ON HETEROGENEOUS DATA SOURCES
The abstract describes a method for determining geolocations of composite entities based on information from heterogeneous data sources.
- Identification of an association between two objects and a composite object
- Receiving data from two different sources associated with the two objects
- Applying a rule set to determine the geolocation of the composite object
- Utilizing time identifiers to correspond with the geolocation
Potential Applications: - Geolocation tracking for composite entities - Geographic information systems - Location-based services
Problems Solved: - Integrating data from multiple sources - Determining accurate geolocations for composite entities
Benefits: - Improved accuracy in determining geolocations - Enhanced tracking and monitoring capabilities - Efficient data integration from heterogeneous sources
Commercial Applications: - Geolocation services for businesses - Asset tracking and management systems - Emergency response and disaster management tools
Questions about the technology: 1. How does this method improve upon existing geolocation tracking systems? 2. What are the key factors that influence the accuracy of geolocation determination in composite entities?
Frequently Updated Research: - Stay updated on advancements in geolocation technology and data integration methods for composite entities.
Original Abstract Submitted
an example method of determining geolocations of composite entities based on information retrieved from heterogeneous data sources comprises: identifying, by a computer system, an association of a first object and a second object with a composite object; receiving, from a first data source associated with the first object by an ontology, a first dataset including a first data item specifying a first time identifier and a first geolocation associated with the first object; receiving, from a second data source associated with the second object by the ontology, a second dataset including a second data item specifying a second time identifier and a second geolocation associated with the second object; and determining, by applying a rule set associated with the ontology to the first dataset and the second dataset, a geolocation of the composite object and a corresponding time identifier.