Abstract: A system is disclosed that enriches image metadata by taking a variety of structured and unstructured data associated with an image and integrating some or all of the structured and unstructured data into the metadata of the image. The enriched image metadata renders the image capable of being placed against other leveraging technologies, for example searching and feature-based sorting.

Abstract: Systems and methods are disclosed for the generation and interactive display of three-dimensional (3D) building models, for the determination and simulation of risk associated with the underlying buildings, for the prediction of changes to the underlying buildings associated with the risk, for the generation and display of updated 3D building models factoring in the risk or predicted changes, and for the collection and display of relevant contextual information associated with the underlying building while presenting a 3D building model. The 3D building model can be displayed in an augmented reality (AR) view, and a user can interact with the 3D building model via controls present in the AR view and/or by moving within the real-world location in which the user is present.

Abstract: Computerized data management systems and methods for inter-relating, indexing, and organizing data records stored in a database or as computer files are described. The systems and methods can be used for linking or associating data records relating to real estate parcels. A given parcel in a community of parcels may have many neighbors. The systems and methods can identify a reduced set of neighbors of the parcel that have addresses that bracket the address of the parcel.

Abstract: A system, apparatus, computer program product, and method automatically, accurately, and reliably detect floor elevations of improvements (e.g., houses) on parcels of land without human inspection of the property. Fusing aspects of image processing, artificial intelligence, and information on adjacent grade points along the footprint of a specific property, the present computer-based system identifies a first floor height (FFH), and first floor elevation (FFE) of the improvement with respect to the terrain or surface of the parcel of land on which the improvement is located. In turn, by knowing the FFH of the improvement on the parcel, it is possible to improve on conventional methods for estimating flood risk to a property without requiring a personal inspection of the parcel by a human.

Abstract: A system is disclosed that implements features for generating a user-specific content page. In one embodiment, the system includes an identity lifecycle management (ILM) system a platform as a service (PaaS) system, and an application system. The ILM system can store associations of a user with personas, and a list of features of applications, run the application system, associated with each persona. The PaaS system may retrieve data values of the features of the applications associated with the personas of the user from the application system to generate a user-specific content page for the user.

Abstract: Systems and methods for determining a boundary from evaluation records for objects are disclosed. In some embodiments, evaluation records for objects (e.g., appraisal records for real estate properties) are accessed. The evaluation records can be used to identify objects with similar characteristics. By representing objects identified as nodes in a graph, edges between nodes representing the identified objects can be established. A network generated from the nodes and edges can be used to identify a boundary comprising objects having similar characteristics.

Abstract: A method, system and computer program product assess risk of an unauthorized API login and mitigate damage from an unauthorized API login. The method includes collecting in a database license attributes of a user license, user profile attributes, and database content change attributes; receiving an API login request; comparing features of the API login request to at least one of the database license attributes, user profile attributes, and database content change attributes against a predetermined threshold; assessing a risk of the an unauthorized API login request based on a result of the comparison; and based on a level of the assessed risk, implemented protective action to mitigate harm that may result from an unauthorized user from accessing information or services from a computer system by way of an API.

Abstract: A system and method exploit information gained by observing abnormal commonality factors from multiple accounts over a predetermined time frame. The presence of an abnormal commonality factor serves as an indication that a group of accounts may have been compromised by a common actor via information gained by successful phishing of multiple users' information to improperly gain access to their respective accounts. Once this commonality associated with phishing is detected, the system provides a mechanism and process to rapidly respond to the phishing-originated attack to minimize information security damage to the affected accounts.

Abstract: A system, method and computer program product cooperate to extract a building footprint from other data associated with a property. Imagery data of real property is input to a computing device, the imagery data containing a plurality of parcels. A processing circuit detects contrasts of candidate man-made structures on a parcel of the plurality of parcels. The candidate man-made structures are then associated with the parcel. A building footprint is then extracted by distinguishing a man-made structure on said parcel from natural terrain, recognizing that man-made structures when viewed from above generally show a strong contrast from background terrain. Remaining candidate man-made structures are removed by observing that they having features inconsistent with predetermined extraction logic.

Abstract: Computerized data management systems and methods for inter-relating, indexing, and organizing data records stored in a database or as computer files are described. The systems and methods can be used for linking or associating data records relating to real estate parcels. A given parcel in a community of parcels may have many neighbors. The systems and methods can identify a reduced set of neighbors of the parcel that have addresses that bracket the address of the parcel.

Abstract: A computer-based method for validating an appraisal report includes receiving appraisal data for a property, receiving property data for the property, verifying the appraisal data meets an appraisal guideline, providing a list of appraisal items that are present in the appraisal data, providing a medium discrepancy amount and a high discrepancy amount for the list of appraisal items, calculating a difference amount between the appraisal data and the property data for each appraisal item, and comparing the difference amount to the medium discrepancy amount and the high discrepancy amount.

Abstract: Certain aspects relate to systems and techniques for image metadata enrichment. Image metadata enrichment can be accomplished by taking a variety of structured and unstructured data associated with an image and integrating some or all of the structured and unstructured data into the metadata of the image. The enriched image metadata renders the image capable of being placed against other leveraging technologies, for example searching and feature-based sorting.

Abstract: A system, method and computer program product cooperate to extract a building footprint from other data associated with a property. Imagery data of real property is input to a computing device, the imagery data containing a plurality of parcels. A processing circuit detects contrasts of candidate man-made structures on a parcel of the plurality of parcels. The candidate man-made structures are then associated with the parcel. A building footprint is then extracted by distinguishing a man-made structure on said parcel from natural terrain, recognizing that man-made structures when viewed from above generally show a strong contrast from background terrain. Remaining candidate man-made structures are removed by observing that they having features inconsistent with predetermined extraction logic.

Abstract: In some embodiments, scripts may be used to perform parcel data acquisition, conversion, and clean-up/repair in an automated manner and/or through graphical user interfaces. The scripts may be used, for example, to repair geometries of new parcel data, convert multi-part parcel geometries to single part parcel geometries (explode), eliminate duplicate parcel geometries, append columns, create feature classes, and append feature classes. These scripts may be executed in a predetermined manner to increase efficiency. In some embodiments, different combinations of attributes may be appended to stored parcel data. In some embodiments, a tracking application may be used to track information about sources of data. In some embodiments, a tracking application may be used to track which system users are assigned to specific tasks (e.g., in a data acquisition project).

Abstract: A system, method and computer program product cooperate to extract a building footprint from other data associated with a property. Imagery data of real property is input to a computing device, the imagery data containing a plurality of parcels. A processing circuit detects contrasts of candidate man-made structures on a parcel of the plurality of parcels. The candidate man-made structures are then associated with the parcel. A building footprint is then extracted by distinguishing a man-made structure on said parcel from natural terrain, recognizing that man-made structures when viewed from above generally show a strong contrast from background terrain. Remaining candidate man-made structures are removed by observing that they having features inconsistent with predetermined extraction logic.

Abstract: A system, method and computer program product cooperate to extract a building footprint from other data associated with a property. Imagery data of real property is input to a computing device, the imagery data containing a plurality of parcels. A processing circuit detects contrasts of candidate man-made structures on a parcel of the plurality of parcels. The candidate man-made structures are then associated with the parcel. A building footprint is then extracted by distinguishing a man-made structure on said parcel from natural terrain, recognizing that man-made structures when viewed from above generally show a strong contrast from background terrain. Remaining candidate man-made structures are removed by observing that they having features inconsistent with predetermined extraction logic.

Abstract: System and methods are disclosed that attempt to verify data related to a parcel against mapping and addressing data. If the data cannot be verified, then an enhanced normalization process may be performed. The enhanced normalization process may attempt to group the parcel with some other parcels based on parcel characteristics. If the grouping is successful, then normalization may be performed on the grouping. Normalization may involve checking whether the grouping satisfies a set of grouping criteria.

Abstract: In various embodiments, a flood risk score may be determined for a property point that provides a comprehensive assessment of the property point's risk of flooding. Determining the flood risk score may include determining a flood risk characteristic for the property point and assigning a flood risk score that corresponds to the flood risk characteristic. In some embodiments, flood risk characteristics may include a difference in elevation between the elevation of the property point and an elevation of a calculated point (e.g., on a known flood risk zone boundary). Flood risk characteristics may also include a flood zone determination for the property point and/or proximity of the property point to a known flood risk zone boundary or a flood source. In some embodiments, flood risk scores may be provided on flood risk score reports.

Abstract: A computer-based method for validating an appraisal report includes receiving appraisal data for a property, receiving property data for the property, verifying the appraisal data meets an appraisal guideline, providing a list of appraisal items that are present in the appraisal data, providing a medium discrepancy amount and a high discrepancy amount for the list of appraisal items, calculating a difference amount between the appraisal data and the property data for each appraisal item, and comparing the difference amount to the medium discrepancy amount and the high discrepancy amount.

Abstract: In various embodiments, a flood risk score may be determined for a property point that provides a comprehensive assessment of the property point's risk of flooding. Determining the flood risk score may include determining a flood risk characteristic for the property point and assigning a flood risk score that corresponds to the flood risk characteristic. In some embodiments, flood risk characteristics may include a difference in elevation between the elevation of the property point and an elevation of a calculated point (e.g., on a known flood risk zone boundary). Flood risk characteristics may also include a flood zone determination for the property point and/or proximity of the property point to a known flood risk zone boundary or a flood source. In some embodiments, flood risk scores may be provided on flood risk score reports.