Abstract: A system with methodology for dynamic modular ontology. In one embodiment, for example, a method comprises: receiving a command from an analyst to create a new ontology module; receiving, from the analyst, a selection of a first ontology module to import into the new ontology module; receiving, from the analyst, a selection of a second ontology module to import into the new ontology module; detecting an ambiguous data type definition conflict between a first definition of a data type in the first ontology module and a second definition of the data type in the second ontology module; generating a third definition of the data type reflecting a resolution of the ambiguous data type definition conflict; and storing, in a data container, the new ontology module comprising the third definition of the data type.

Abstract: Systems and techniques for sharing data related to city resiliency are described herein. The user interfaces described herein, such as electronic readers, clustering visualizations, and/or map visualizations, may provide human users with tools for effective workflow processes to share and analyze data related to city resiliency. Strategies to detect potential city resiliency issues and/or resilience data may be automatically shared, investigated, executed, applied, and/or used by entities. Strategies and/or resilience data may be modified to redact sensitive information and/or configured through granular access controls for sharing. Electronic communications may be automatically ingested and shared through the city resiliency sharing system.

Abstract: Computer implemented systems and methods are disclosed for structuring data from unstructured electronic data files. In accordance with some embodiments, an electronic data file including unstructured content associated with a legal process return is received and the unstructured content parsed. The unstructured content is parsed to identify one or more objects and properties based on a database ontology that are processed to generate an object model. A data report may be generated based on the identified objects and properties.

Abstract: Computer implemented systems and methods are disclosed for structuring data from unstructured electronic data files. In accordance with some embodiments, an electronic data file including unstructured content associated with a legal process return is received and the unstructured content parsed. The unstructured content is parsed to identify one or more objects and properties based on a database ontology that are processed to generate an object model. A data report may be generated based on the identified objects and properties.

Abstract: Computer implemented systems and methods are disclosed for structuring data from unstructured electronic data files. In accordance with some embodiments, an electronic data file including unstructured content associated with a legal process return is received and the unstructured content parsed. The unstructured content is parsed to identify one or more objects and properties based on a database ontology that are processed to generate an object model. A data report may be generated based on the identified objects and properties.