Abstract: Systems and methods are disclosed for improved mapping data validation using randomness measures. Methods may include receiving a map dataset that includes a plurality of map features. A knowledge graph may be generated based on the map dataset that may include nodes representing or corresponding to the map features. Nodes corresponding to map features of a particular feature type may be identified and edges connected to the identified nodes may be processed to identify a plurality of paths. A randomness measure for the particular feature type may be determined based on the plurality of paths. The randomness measure may indicate a predictability of occurrences of map features of the particular feature type in the map dataset. The randomness measure may then be compared to a second randomness measure determined based on another map dataset.

Abstract: Systems and methods are disclosed for improved mapping data validation using randomness measures. Methods may include receiving a map dataset that includes a plurality of map features. A knowledge graph may be generated based on the map dataset that may include nodes representing or corresponding to the map features. Nodes corresponding to map features of a particular feature type may be identified and edges connected to the identified nodes may be processed to identify a plurality of paths. A randomness measure for the particular feature type may be determined based on the plurality of paths. The randomness measure may indicate a predictability of occurrences of map features of the particular feature type in the map dataset. The randomness measure may then be compared to a second randomness measure determined based on another map dataset.

Abstract: A new database design is implemented in which everything in the database is modeled with primitives, including the links and nodes for a graph tuple store. A query syntax provides a nested tree of constraints with a single global schema. Various optimization techniques for queries and replication techniques are also described.

Abstract: A new database design is implemented in which everything in the database is modeled with primitives, including the links and nodes for a graph tuple store. A query syntax provides a nested tree of constraints with a single global schema. Various optimization techniques for queries and replication techniques are also 10 described.

Abstract: A new database design is implemented in which everything in the database is modeled with primitives, including the links and nodes for a graph tuple store. A query syntax provides a nested tree of constraints with a single global schema. Various optimization techniques for queries and replication techniques are also described.

Abstract: A new database design is implemented in which everything in the database is modeled with primitives, including the links and nodes for a graph tuple store. A query syntax provides a nested tree of constraints with a single global schema. Various optimization techniques for queries and replication techniques are also described.

Abstract: A new database design is implemented in which everything in the database is modeled with primitives, including the links and nodes for a graph tuple store. A query syntax provides a nested tree of constraints with a single global schema. Various optimization techniques for queries and replication techniques are also described.