Abstract: Systems and methods for preparing and analyzing data related to geo-spatial properties. A system generates from a first data source, based on an ontology, a geographic dataset including first data objects representative of first data from the first data source and at least one geo-spatial reference based on respective location information from the first data source that corresponds to the first data. The system can also generate a vector map data tile layer based on the ontology using the geographic dataset and including vector map data tiles, having map geometry data linked to the first data objects by a geo-spatial reference, and corresponding to a portion of a geographic area represented by the vector map data tile layer. In response to requests from the front-end system application for first data related to a geo-spatial feature, tiles can be provided and first data corresponding to selected geo-spatial references can be displayed.

Abstract: Systems, methods and instructions for creating building models of physical structures is disclosed. The building model may be a collection of floors defined by outlines containing regions that may be offset relative to a main region, and a collection of connectors. Connectors may have connection points for tracking, routing and sizing. Connectors may indicate elevation changes through georeferenced structural features. Signal elements may also be features that provide corrections when tracking. Feature descriptors are data that describes the structural configuration and signal elements enabling them to be matched to previously collected data in a database. User interface elements assist a user of a tracking device in collecting floor information, structural features and signal features and validating certain collected information based on previously known information. The height of floors may also be inferred based on sensor data from the tracking device.

Abstract: Systems and methods for preparing and analyzing data related to geo-spatial properties. A system generates from a first data source, based on an ontology, a geographic dataset including first data objects representative of first data from the first data source and at least one geo-spatial reference based on respective location information from the first data source that corresponds to the first data. The system can also generate a vector map data tile layer based on the ontology using the geographic dataset and including vector map data tiles, having map geometry data linked to the first data objects by a geo-spatial reference, and corresponding to a portion of a geographic area represented by the vector map data tile layer. In response to requests from the front-end system application for first data related to a geo-spatial feature, tiles can be provided and first data corresponding to selected geo-spatial references can be displayed.

Abstract: Systems and methods are provided for investigation network activities. Network activity information may be accessed. The network activity information may describe for an individual (1) respective relationship with one or more persons; and (2) respective activity status information indicating whether a given person has engaged in a particular activity. A network activity graph may be generated based on the network activity information. The network activity graph may include two or more nodes representing the individual and the one or more persons. Connections between the nodes may represent the respective relationships between the individual and the one or more persons. Data corresponding to the network activity graph may be presented through an interface.

Abstract: Systems, methods and instructions for creating building models of physical structures is disclosed. The building model may be a collection of floors defined by outlines containing regions that may be offset relative to a main region, and a collection of connectors. Connectors may have connection points for tracking, routing and sizing. Connectors may indicate elevation changes through georeferenced structural features. Signal elements may also be features that provide corrections when tracking. Feature descriptors are data that describes the structural configuration and signal elements enabling them to be matched to previously collected data in a database. User interface elements assist a user of a tracking device in collecting floor information, structural features and signal features and validating certain collected information based on previously known information. The height of floors may also be inferred based on sensor data from the tracking device.

Abstract: Systems, methods and instructions for creating building models of physical structures is disclosed. The building model may be a collection of floors defined by outlines containing regions that may be offset relative to a main region, and a collection of connectors. Connectors may have connection points for tracking, routing and sizing. Connectors may indicate elevation changes through georeferenced structural features. Signal elements may also be features that provide corrections when tracking. Feature descriptors are data that describes the structural configuration and signal elements enabling them to be matched to previously collected data in a database. User interface elements assist a user of a tracking device in collecting floor information, structural features and signal features and validating certain collected information based on previously known information. The height of floors may also be inferred based on sensor data from the tracking device.

Abstract: Systems and methods are provided for investigation network activities. Network activity information may be accessed. The network activity information may describe for an individual (1) respective relationship with one or more persons; and (2) respective activity status information indicating whether a given person has engaged in a particular activity. A network activity graph may be generated based on the network activity information. The network activity graph may include two or more nodes representing the individual and the one or more persons. Connections between the nodes may represent the respective relationships between the individual and the one or more persons. Data corresponding to the network activity graph may be presented through an interface.

Abstract: Systems and methods for preparing and analyzing data related to geo-spatial properties. A system generates from a first data source, based on an ontology, a geographic dataset including first data objects representative of first data from the first data source and at least one geo-spatial reference based on respective location information from the first data source that corresponds to the first data. The system can also generate a vector map data tile layer based on the ontology using the geographic dataset and including vector map data tiles, having map geometry data linked to the first data objects by a geo-spatial reference, and corresponding to a portion of a geographic area represented by the vector map data tile layer. In response to requests from the front-end system application for first data related to a geo-spatial feature, tiles can be provided and first data corresponding to selected geo-spatial references can be displayed.

Abstract: Systems, methods and instructions for creating building models of physical structures is disclosed. The building model may be a collection of floors defined by outlines containing regions that may be offset relative to a main region, and a collection of connectors. Connectors may have connection points for tracking, routing and sizing. Connectors may indicate elevation changes through georeferenced structural features. Signal elements may also be features that provide corrections when tracking. Feature descriptors are data that describes the structural configuration and signal elements enabling them to be matched to previously collected data in a database. User interface elements assist a user of a tracking device in collecting floor information, structural features and signal features and validating certain collected information based on previously known information. The height of floors may also be inferred based on sensor data from the tracking device.

Abstract: Systems and methods for preparing and analyzing data related to geo-spatial properties. A system generates from a first data source, based on an ontology, a geographic dataset including first data objects representative of first data from the first data source and at least one geo-spatial reference based on respective location information from the first data source that corresponds to the first data. The system can also generate a vector map data tile layer based on the ontology using the geographic dataset and including vector map data tiles, having map geometry data linked to the first data objects by a geo-spatial reference, and corresponding to a portion of a geographic area represented by the vector map data tile layer. In response to requests from the front-end system application for first data related to a geo-spatial feature, tiles can be provided and first data corresponding to selected geo-spatial references can be displayed.

Abstract: A location and mapping service is described that creates a global database of indoor navigation maps through crowd-sourcing and data fusion technologies. The navigation maps consist of a database of geo-referenced, uniquely described features in the multi-dimensional sensor space (e.g., including structural, RF, magnetic, image, acoustic, or other data) that are collected automatically as a tracked mobile device is moved through a building (e.g. a person with a mobile phone or a robot). The feature information can be used to create building models as one or more tracked devices traverse a building.

Abstract: Systems and methods for preparing and analyzing data related to geo-spatial properties. A system generates from a first data source, based on an ontology, a geographic dataset including first data objects representative of first data from the first data source and at least one geo-spatial reference based on respective location information from the first data source that corresponds to the first data. The system can also generate a vector map data tile layer based on the ontology using the geographic dataset and including vector map data tiles, having map geometry data linked to the first data objects by a geo-spatial reference, and corresponding to a portion of a geographic area represented by the vector map data tile layer. In response to requests from the front-end system application for first data related to a geo-spatial feature, tiles can be provided and first data corresponding to selected geo-spatial references can be displayed.

Abstract: Systems, methods and instructions for creating building models of physical structures is disclosed. The building model may be a collection of floors defined by outlines containing regions that may be offset relative to a main region, and a collection of connectors. Connectors may have connection points for tracking, routing and sizing. Connectors may indicate elevation changes through georeferenced structural features. Signal elements may also be features that provide corrections when tracking. Feature descriptors are data that describes the structural configuration and signal elements enabling them to be matched to previously collected data in a database. User interface elements assist a user of a tracking device in collecting floor information, structural features and signal features and validating certain collected information based on previously known information. The height of floors may also be inferred based on sensor data from the tracking device.

Abstract: A location and mapping service is described that creates a global database of indoor navigation maps through crowd-sourcing and data fusion technologies. The navigation maps consist of a database of geo-referenced, uniquely described features in the multi-dimensional sensor space (e.g., including structural, RF, magnetic, image, acoustic, or other data) that are collected automatically as a tracked mobile device is moved through a building (e.g. a person with a mobile phone or a robot). The feature information can be used to create building models as one or more tracked devices traverse a building.

Abstract: This disclosure provides techniques for the creation of maps of indoor spaces. In these techniques, an individual or a team with no mapping or cartography expertise can contribute to the creation of maps of buildings, campuses or cities. An indoor location system can track the location of contributors in the building. As they walk through indoor spaces, an application may automatically create a map based on data from motion sensors by both tracking the location of the contributors and also inferring building features such as hallways, stairways, and elevators based on the tracked contributors' motions as they move through a structure. With these techniques, the process of mapping buildings can be crowd sourced to a large number of contributors, making the indoor mapping process efficient and easy to scale up.

Abstract: A location and mapping service is described that creates a global database of indoor navigation maps through crowd-sourcing and data fusion technologies. The navigation maps consist of a database of geo-referenced, uniquely described features in the multi-dimensional sensor space (e.g., including structural, RF, magnetic, image, acoustic, or other data) that are collected automatically as a tracked mobile device is moved through a building (e.g. a person with a mobile phone or a robot). The feature information can be used to create building models as one or more tracked devices traverse a building, to indicate signal strength throughout different parts of the building mode, and to illustrate a path of each tracked device associated with signal strength and other annotations.

Abstract: Computer implemented systems and methods resolve data entries across multiple lists. The lists may include a plurality of records, wherein each record is associated with a respective entity. In accordance with some embodiments, the systems and methods further comprise identifying a direct field match between two lists, determining updated lists based on the remaining data entries, executing a comparison of the remaining data entries, determining a scoring metric based on the comparison, and determining whether the scoring metric exceeds a threshold. The systems and methods further comprise generating a data distribution curve based on the matched and unmatched data records and adjusting the threshold based on the data distribution curve for the next iteration of comparisons executed on the remaining unresolved entities.

Abstract: A location and mapping service is described that creates a global database of indoor navigation maps through crowd-sourcing and data fusion technologies. The navigation maps consist of a database of geo-referenced, uniquely described features in the multi-dimensional sensor space (e.g., including structural, RF, magnetic, image, acoustic, or other data) that are collected automatically as a tracked mobile device is moved through a building (e.g. a person with a mobile phone or a robot). The feature information can be used to create building models as one or more tracked devices traverse a building.

Abstract: Systems, methods and instructions for creating building models of physical structures is disclosed. The building model may be a collection of floors defined by outlines containing regions that may be offset relative to a main region, and a collection of connectors. Connectors may have connection points for tracking, routing and sizing. Connectors may indicate elevation changes through georeferenced structural features. Signal elements may also be features that provide corrections when tracking. Feature descriptors are data that describes the structural configuration and signal elements enabling them to be matched to previously collected data in a database. User interface elements assist a user of a tracking device in collecting floor information, structural features and signal features and validating certain collected information based on previously known information. The height of floors may also be inferred based on sensor data from the tracking device.

Abstract: Systems, methods and instructions for creating building models of physical structures is disclosed. The building model may be a collection of floors defined by outlines containing regions that may be offset relative to a main region, and a collection of connectors. Connectors may have connection points for tracking, routing and sizing. Connectors may indicate elevation changes through georeferenced structural features. Signal elements may also be features that provide corrections when tracking. Feature descriptors are data that describes the structural configuration and signal elements enabling them to be matched to previously collected data in a database. User interface elements assist a user of a tracking device in collecting floor information, structural features and signal features and validating certain collected information based on previously known information. The height of floors may also be inferred based on sensor data from the tracking device.