Abstract: A computer system and related computer-implemented methods are disclosed. The system is programmed to simplify one or more digital maps for a geographical region by reducing their sizes while maintaining their physical appearances to the human eyes.

Abstract: In an embodiment, a method comprises storing metadata that maps a domain model to data stored in a plurality of data stores, each data store being associated with a particular query language, the domain model describing the data and relationships between the data. The method comprises receiving a request for data stored in a first data store of, the request being in a request query language based on the domain model. The method comprises generating an abstract syntax tree indicating a field selection, an entity path, and a condition based on the request; generating a structure model comprising one or more aggregation levels for one or more entities; and generating annotations comprising query language aliases for portions of the request and correlating the portions of the request with the metadata. The method comprises generating queries in a first query language associated with the first data store based on the annotations; and sending the queries to the first data store.

Abstract: A method for providing low-latency responses to queries to a data search system comprises storing first digital data in a first digital data repository using a first column-oriented storage format; storing second digital data in a second digital data repository using a second column-oriented storage format, wherein the second column-oriented storage format is different from the first column-oriented storage format; generating a plurality of pre-computed views based on both the exposure data and the risk item data; storing the plurality of pre-computed views in the second data repository using the second column-oriented storage format; and in response to receiving a search query, determining a result set that is responsive to the query based on one or more particular pre-computed views of the plurality of pre-computed views and providing the result set to another computer or display device as output.

Abstract: A computing system and platform includes an event subsample processor and a risk item subsample processor to generate approximations when undertaking processing to model complex events in order to minimize CPU, memory and storage overhead. The event subsample processor approximates values associated with events based on a measure of the importance of select events; the risk item subsample processor groups similar event/risk item pairs and approximates values using representatives from each group.

Abstract: A risk exposure model is developed for network or moveable assets not specific to a single, fixed address or location. An asset map using a plurality of geographic representation points is used to identify the physical locations of the asset portions (or possible physical locations in the case of a moveable asset). Baseline geographic, geologic, political, and demographic data is similarly represented using geographic representation points. Meta-data associated with each geographic representation point is used to identify details related to the asset or baseline feature at that geographic location. Risk exposure values are then calculated using the geographic representation points specific to the asset portions that are subject to risks associated with the location of the asset portion.

Abstract: A computer system and related computer-implemented methods are disclosed. The system is programmed to simplify one or more digital maps for a geographical region by reducing their sizes while maintaining their physical appearances to the human eyes.

Abstract: A method for providing low-latency responses to queries to a data search system comprises storing first digital data in a first digital data repository using a first column-oriented storage format; storing second digital data in a second digital data repository using a second column-oriented storage format, wherein the second column-oriented storage format is different from the first column-oriented storage format; generating a plurality of pre-computed views based on both the exposure data and the risk item data; storing the plurality of pre-computed views in the second data repository using the second column-oriented storage format; and in response to receiving a search query, determining a result set that is responsive to the query based on one or more particular pre-computed views of the plurality of pre-computed views and providing the result set to another computer or display device as output.

Abstract: In an embodiment, a method comprises generating and storing metadata that maps a domain model to data stored in a data store, wherein the domain model describes the data and relationships between the data; receiving, from a client application, a request for data stored in the data store, wherein the request is in a first query language; translating the request into one or more queries based on the metadata, wherein the one or more queries are in a second query language; sending the one or more queries to the data store; receiving a first result set from the data store, based on the data store executing the one or more queries.

Abstract: A system automatically processes rules for allocation of resources to mitigate damages resulting from a catastrophic event. Overlapping interests of various stakeholders are processed in a deterministic manner to ensure repeatable processing and modeling. In one embodiment the resources are disaster aid items; in another they are obligations regarding insurance.

Abstract: A risk exposure model is developed for network or moveable assets not specific to a single, fixed address or location. An asset map using a plurality of geographic representation points is used to identify the physical locations of the asset portions (or possible physical locations in the case of a moveable asset). Baseline geographic, geologic, political, and demographic data is similarly represented using geographic representation points. Meta-data associated with each geographic representation point is used to identify details related to the asset or baseline feature at that geographic location. Risk exposure values are then calculated using the geographic representation points specific to the asset portions that are subject to risks associated with the location of the asset portion.

Abstract: A computing system and platform uses various types of data stores to allow efficient querying of, and accelerated access to, extremely large data sets. One such data store is a dimension store that combines key-value and columnar stores, access to which is provided by several selectable mechanisms chosen based the nature of the data of interest. These include bitmap-based access, us of an optimized columnar data format, and access via namespace identifiers. A compressed, optimized page data format is provided for storing and analyzing large fact-based data. The complex dimension store is used to provide complex relationships and interpretation of the fact-based data, enabling high-performance advanced queries, with bitmap indexes passed between the two stores. Dimension data is stored in an encrypted manner throughout the system, and can be exchanged among parties in a secure manner.

Abstract: A system stochastically models events related to potential perils (e.g., hurricanes, terrorist attacks) using a weighted period event table. Both rare and likely events are captured in modeling with minimal computational overhead, allowing appropriate allocation of resources. Applications include disaster response, municipal planning, financial risk modeling and allocation.

Abstract: A system stochastically models events related to potential perils (e.g., hurricanes, terrorist attacks) using a weighted period event table. Both rare and likely events are captured in modeling with minimal computational overhead, allowing appropriate allocation of resources. Applications include disaster response, municipal planning, financial risk modeling and allocation.

Abstract: A risk exposure model is developed for network or moveable assets not specific to a single, fixed address or location. An asset map using a plurality of geographic representation points is used to identify the physical locations of the asset portions (or possible physical locations in the case of a moveable asset). Baseline geographic, geologic, political, and demographic data is similarly represented using geographic representation points. Meta-data associated with each geographic representation point is used to identify details related to the asset or baseline feature at that geographic location. Risk exposure values are then calculated using the geographic representation points specific to the asset portions that are subject to risks associated with the location of the asset portion.

Abstract: A system and method are provided for identifying exposure concentrations. The process of determining exposure concentrations may include organizing exposure data, defining parameters, determining elevated exposure concentrations, and providing output results. The exposure data may relate to at least geographical locations, policies, accounts, portfolios, treaties, and other exposure data. The parameters may be defined to include at least an area of analysis, a region of interest, a threshold amount, results parameters, and other parameters. The exposure concentration may include at least defining and locating exposure locations using various techniques. The results may be presented using textual, graphical, or other display schemes. The output may be configured to convey information such as positional accuracy of an identified area, exposure accumulation in a defined area, and other information.

Abstract: A variable resolution grid provides a mechanism for focusing specific concentrations of risk exposure on a geographical grid to determine projected loss caused by a particular catastrophe. The geographic grid provides a stable base map by using latitudes and longitudes to define the grid points and cells. Each cell is assigned a geographic identifier or geocode that identifies the location of the cell and its associated resolution. The resolution of the grid may be varied depending in part, on the resolution of any available of hazard data.

Abstract: A system and method are provided for identifying exposure concentrations. The process of determining exposure concentrations may include organizing exposure data, defining parameters, determining elevated exposure concentrations, and providing output results. The exposure data may relate to at least geographical locations, policies, accounts, portfolios, treaties, and other exposure data. The parameters may be defined to include at least an area of analysis, a region of interest, a threshold amount, results parameters, and other parameters. The exposure concentration may include at least defining and locating exposure locations using various techniques. The results may be presented using textual, graphical, or other display schemes. The output may be configured to convey information such as positional accuracy of an identified area, exposure accumulation in a defined area, and other information.

Abstract: A variable resolution grid provides a mechanism for focusing specific concentrations of risk exposure on a geographical grid to determine projected loss caused by a particular catastrophe. The geographic grid provides a stable base map by using latitudes and longitudes to define the grid points and cells. Each cell is assigned a geographic identifier or geocode that identifies the location of the cell and its associated resolution. The resolution of the grid may be varied depending in part, on the resolution of any available of hazard data.

Abstract: A system and method are provided for identifying exposure concentrations. The process of determining exposure concentrations may include organizing exposure data, defining parameters, determining elevated exposure concentrations, and providing output results. The exposure data may relate to at least geographical locations, policies, accounts, portfolios, treaties, and other exposure data. The parameters may be defined to include at least an area of analysis, a region of interest, a threshold amount, results parameters, and other parameters. The exposure concentration may include at least defining and locating exposure locations using various techniques. The results may be presented using textual, graphical, or other display schemes. The output may be configured to convey information such as positional accuracy of an identified area, exposure accumulation in a defined area, and other information.

Abstract: A system and method are provided for identifying exposure concentrations. The process of determining exposure concentrations may include organizing exposure data, defining parameters, determining elevated exposure concentrations, and providing output results. The exposure data may relate to at least geographical locations, policies, accounts, portfolios, treaties, and other exposure data. The parameters may be defined to include at least an area of analysis, a region of interest, a threshold amount, results parameters, and other parameters. The exposure concentration may include at least defining and locating exposure locations using various techniques. The results may be presented using textual, graphical, or other display schemes. The output may be configured to convey information such as positional accuracy of an identified area, exposure accumulation in a defined area, and other information.