Abstract: A system and method provide functionality for collecting user update reports of geographic inconsistencies between geographic data and the real world to enable automated processing of updates to the geographic data. A user's input is collected and describes an anomaly, which is a geographic inconsistency between geographic data and the real world. The user's input is stored as language neutral structured data that enables automated processing of updates to the geographic data. Automatic processes that process the structured data include an email agent, an incident agent, a geographic augmentation agent, a case generation agent, a clustering agent, an automatic validation agent, and a monitoring service. Automatic and manual processes combined together handle processing of anomalies, as well as other related processing, and ultimately handle processing of updates to the geographic data to resolve the anomalies reported by the users.

Abstract: A system and method provide functionality for collecting user update reports of geographic inconsistencies between geographic data and the real world to enable automated processing of updates to the geographic data. A user's input is collected and describes an anomaly, which is a geographic inconsistency between geographic data and the real world. The user's input is stored as language neutral structured data that enables automated processing of updates to the geographic data. Automatic processes that process the structured data include an email agent, an incident agent, a geographic augmentation agent, a case generation agent, a clustering agent, an automatic validation agent, and a monitoring service. Automatic and manual processes combined together handle processing of anomalies, as well as other related processing, and ultimately handle processing of updates to the geographic data to resolve the anomalies reported by the users.

Abstract: A system and method provide functionality for collecting user update reports of geographic inconsistencies between geographic data and the real world to enable automated processing of updates to the geographic data. A user's input is collected and describes an anomaly, which is a geographic inconsistency between geographic data and the real world. The user's input is stored as language neutral structured data that enables automated processing of updates to the geographic data. Automatic processes that process the structured data include an email agent, an incident agent, a geographic augmentation agent, a case generation agent, a clustering agent, an automatic validation agent, and a monitoring service. Automatic and manual processes combined together handle processing of anomalies, as well as other related processing, and ultimately handle processing of updates to the geographic data to resolve the anomalies reported by the users.

Abstract: A system and method provide functionality for collecting user update reports of geographic inconsistencies between geographic data and the real world to enable automated processing of updates to the geographic data. A user's input is collected and describes an anomaly, which is a geographic inconsistency between geographic data and the real world. The user's input is stored as language neutral structured data that enables automated processing of updates to the geographic data. Automatic processes that process the structured data include an email agent, an incident agent, a geographic augmentation agent, a case generation agent, a clustering agent, an automatic validation agent, and a monitoring service. Automatic and manual processes combined together handle processing of anomalies, as well as other related processing, and ultimately handle processing of updates to the geographic data to resolve the anomalies reported by the users.

Abstract: A system and method provide functionality for collecting user update reports of geographic inconsistencies between geographic data and the real world to enable automated processing of updates to the geographic data. A user's input is collected and describes an anomaly, which is a geographic inconsistency between geographic data and the real world. The user's input is stored as language neutral structured data that enables automated processing of updates to the geographic data. Automatic processes that process the structured data include an email agent, an incident agent, a geographic augmentation agent, a case generation agent, a clustering agent, an automatic validation agent, and a monitoring service. Automatic and manual processes combined together handle processing of anomalies, as well as other related processing, and ultimately handle processing of updates to the geographic data to resolve the anomalies reported by the users.

Abstract: A system and method provide functionality for collecting user update reports of geographic inconsistencies between geographic data and the real world to enable automated processing of updates to the geographic data. A user's input is collected and describes an anomaly, which is a geographic inconsistency between geographic data and the real world. The user's input is stored as language neutral structured data that enables automated processing of updates to the geographic data. Automatic processes that process the structured data include an email agent, an incident agent, a geographic augmentation agent, a case generation agent, a clustering agent, an automatic validation agent, and a monitoring service. Automatic and manual processes combined together handle processing of anomalies, as well as other related processing, and ultimately handle processing of updates to the geographic data to resolve the anomalies reported by the users.

Abstract: A system and method provide functionality for collecting user update reports of geographic inconsistencies between geographic data and the real world to enable automated processing of updates to the geographic data. A user's input is collected and describes an anomaly, which is a geographic inconsistency between geographic data and the real world. The user's input is stored as language neutral structured data that enables automated processing of updates to the geographic data. Automatic processes that process the structured data include an email agent, an incident agent, a geographic augmentation agent, a case generation agent, a clustering agent, an automatic validation agent, and a monitoring service. Automatic and manual processes combined together handle processing of anomalies, as well as other related processing, and ultimately handle processing of updates to the geographic data to resolve the anomalies reported by the users.

Abstract: A system and method provide functionality for collecting user update reports of geographic inconsistencies between geographic data and the real world to enable automated processing of updates to the geographic data. A user's input is collected and describes an anomaly, which is a geographic inconsistency between geographic data and the real world. The user's input is stored as language neutral structured data that enables automated processing of updates to the geographic data. Automatic processes that process the structured data include an email agent, an incident agent, a geographic augmentation agent, a case generation agent, a clustering agent, an automatic validation agent, and a monitoring service. Automatic and manual processes combined together handle processing of anomalies, as well as other related processing, and ultimately handle processing of updates to the geographic data to resolve the anomalies reported by the users.

Abstract: A system and method provide functionality for collecting user update reports of geographic inconsistencies between geographic data and the real world to enable automated processing of updates to the geographic data. A user's input is collected and describes an anomaly, which is a geographic inconsistency between geographic data and the real world. The user's input is stored as language neutral structured data that enables automated processing of updates to the geographic data. Automatic processes that process the structured data include an email agent, an incident agent, a geographic augmentation agent, a case generation agent, a clustering agent, an automatic validation agent, and a monitoring service. Automatic and manual processes combined together handle processing of anomalies, as well as other related processing, and ultimately handle processing of updates to the geographic data to resolve the anomalies reported by the users.