Abstract: A method may include presenting a user interface on a computing device, the user interface including: a service provider input element identifying a service provider; a service identifier input element identifying a service; and a graph presentation area; executing a knowledge graph database query using a combination of the service provider and the service as input to a knowledge graph database; receiving tuple results in response to the executing, the tuple results including an allocation value property of the service provider attributable to the service provider with respect to the service; and generating in the graph presentation area, an interactive graph based on the tuple results including: representations of entities including the service provider and the service in the tuple results as nodes in the interactive graph, wherein a representation of the service provider includes the allocation value; and links connecting the representations of entities.

Abstract: Media items (e.g., images, videos) may be captured by one or more image capture devices. One or more of the media items may be identified as including/likely including depiction of a user based on proximity of capture of the media item(s) in time and location to the user. The identified media item(s) may be provided to the user.

Abstract: A method may include accessing a semantic map between a schema of a relational database (RDB) and a resource description framework (RDF) data model, the semantic map defined according to a first semantic ontology; applying the semantic map to data loaded from the RDB to generate a first set of semantic objects; storing the first set of semantic objects in a staging RDF triplestore; executing a script to transform the first set of semantic objects into a second set of semantic objects according to a second semantic ontology; and storing the second set of semantic objects into a production RDF triplestore.

Abstract: A method may include presenting a user interface, the user interface including: a graph presentation area; and a graph link type confirmation area; executing a knowledge graph database search query; in response to the executing, receiving a set of tuple objects corresponding to relationships between entities in the knowledge graph database; populating the graph presentation area with representations of the entities and links connecting the representations of the entities; populating the graph link type confirmation area with a selectable user interface element configured to confirm a relationship of the relationships between entities; receiving activation of the selectable user interface element; and in response to receiving the activation, updating the graph presentation area.

Abstract: A method may include accessing, using a processing unit, a source chain datafile formatted in a first format, the source chain datafile including data entries identifying linkages between a service provider, a service receiver, and a component provider, of an enterprise; forming, using the processing unit, initial knowledge graph tuples including subject, object, and predicate components based on the linkages; generating, using the processing unit, a staging knowledge graph storing the initial knowledge graph tuples; translating, using the processing unit, the initial knowledge graph tuples into production knowledge graph tuples according to a source chain knowledge graph schema; and storing, using the processing unit, the production knowledge graph tuples in a production knowledge graph.

Abstract: A method may include executing a knowledge graph database query to a knowledge graph database storing properties of entities; receiving a set of tuple results in response to the executing identifying a set of entities and a set of relationships that connect the set of entities in the knowledge graph database; presenting a UI including a graph presentation area that includes: graphical representations of the set of entities in the set of tuple results; and links connecting the representations of the entities according to the set of relationships; performing a classification validation test against the set of tuple results identifying classification properties for entities in a chain of related entities in the knowledge graph database; determining that the chain meets the classification properties for the entities in the chain in the classification validation test; and in response, updating a presentation style of the graphical representations of the set of entities.

Abstract: An image capture device may be moved while capturing a distance-lapse video. Distance traveled by the image capture device may be used to determine when video frames of the distance-lapse video are generated. Video frames of the distance-lapse video may be generated when the image capture device travels over a certain amount of distance. Distance interval, rather than time interval, may be used to generate the distance-lapse video.

Abstract: A method may include presenting a user interface on a computing device, the user interface including: an input element configured to receive an input of a search concept; a similar concept selection element; and a concept comparison portion; executing a similarity search in a vector-space representation of a knowledge graph using the input; populating the similar concept selection element with a set of a similar concepts based on a result of the executed similarity search; receiving a selection of a comparison concept of the set of similar concepts from the similar concept selection element; generating a predicate comparison visualization in the concept comparison portion based on predicates in the knowledge graph of the comparison concept and the search concept; and presenting the predicate comparison visualization in the concept comparison portion.

Abstract: Systems, apparatus, and methods for color space representation. Unlike television and other passively viewed content, action cameras enable the user to take an active role in content generation/modification. Ideally, image content can be transferred from action cameras to post-processing devices with minimal signal loss (noise introduction), however existing device ecosystems are often bottlenecked by commodity codecs and/or intermediary networks. Various embodiments of the present disclosure use an improved “transport” compression technique to preserve desirable signal codeword and noise codeword relationships for color space representation.

Abstract: Media items (e.g., images, videos) may be captured by one or more image capture devices. One or more of the media items may be identified as including/likely including depiction of a user based on proximity of capture of the media item(s) in time and location to the user. The identified media item(s) may be provided to the user.

Abstract: A method may include presenting a user interface on a computing device, the user interface including: a service provider input element identifying a service provider; a service identifier input element identifying a service; and a graph presentation area; executing a knowledge graph database query using a combination of the service provider and the service as input to a knowledge graph database; receiving tuple results in response to the executing, the tuple results including an allocation value property of the service provider attributable to the service provider with respect to the service; and generating in the graph presentation area, an interactive graph based on the tuple results including: representations of entities including the service provider and the service in the tuple results as nodes in the interactive graph, wherein a representation of the service provider includes the allocation value; and links connecting the representations of entities.

Abstract: A method may include executing a knowledge graph database query to a knowledge graph database storing properties of entities; receiving a set of tuple results in response to the executing identifying a set of entities and a set of relationships that connect the set of entities in the knowledge graph database; presenting a UI including a graph presentation area that includes: graphical representations of the set of entities in the set of tuple results; and links connecting the representations of the entities according to the set of relationships; performing a classification validation test against the set of tuple results identifying classification properties for entities in a chain of related entities in the knowledge graph database; determining that the chain meets the classification properties for the entities in the chain in the classification validation test; and in response, updating a presentation style of the graphical representations of the set of entities.

Abstract: A method may include presenting a user interface, the user interface including: a graph presentation area; and a graph link type confirmation area; executing a knowledge graph database search query; in response to the executing, receiving a set of tuple objects corresponding to relationships between entities in the knowledge graph database; populating the graph presentation area with representations of the entities and links connecting the representations of the entities; populating the graph link type confirmation area with a selectable user interface element configured to confirm a relationship of the relationships between entities; receiving activation of the selectable user interface element; and in response to receiving the activation, updating the graph presentation area.

Abstract: An image capture device may be moved while capturing a distance-lapse video. Distance traveled by the image capture device may be used to determine when video frames of the distance-lapse video are generated. Video frames of the distance-lapse video may be generated when the image capture device travels over a certain amount of distance. Distance interval, rather than time interval, may be used to generate the distance-lapse video.

Abstract: Apparatus and methods for the pre-processing of image data so as to enhance quality of subsequent encoding and rendering. In one embodiment, a capture device is disclosed that includes a processing apparatus and a non-transitory computer readable apparatus comprising a storage medium have one or more instructions stored thereon. The one or more instructions, when executed by the processing apparatus, are configured to: receive captured image data (such as that sourced from two or more separate image sensors) and pre-process the data to enable stabilization of the corresponding images prior to encoding. In some implementations, the pre-processing includes combination (e.g., stitching) of the captured image data associated with the two or more sensors to facilitates the stabilization. Advantageously, undesirable artifacts such as object “jitter” can be reduced or eliminated. Methods and non-transitory computer readable apparatus are also disclosed.

Abstract: Examples described herein relate to systems, apparatuses, and methods for generating a securitized loan blockchain, including providing at least one security criterion, identifying at least one loan block of a loan blockchain that satisfies the security criterion, where the loan blockchain corresponds to at least one loan, and the security criterion is associated with the at least one loan block and a dynamic financial profile of a borrower of the at least one loan, and generating a security blockchain including at least a first security block, where the first security block is associated with a loan link identifier object that identifies the loan block of the loan blockchain.

Abstract: A method may include receiving data from a computing device requesting approval of a loan application; accessing time-series data associated with the user from a knowledge graph; building a feature vector based on the accessed time-series data; inputting the feature vector into a machine learning model; receiving a response from the output from the machine learning mode, the output indicating a level of approval for the user with respect to the loan application; and transmitting a response to the request based on the level of approval.

Abstract: A method may include storing access rights with respect to a plurality of shared data ledgers, wherein each respective shared data ledger of the plurality of shared data ledgers comprises: a plurality of data portions; and at least one data record stored within a data portion of the plurality of data portions; receiving a request, from a requesting computing device, the request including: a requesting identifier stored in a data record of a first shared data ledger; and a request for information, associated with the requesting identifier, stored in a second shared data ledger; determining that the requesting computing device is authorized to access the information stored in the second shared data ledger based on the stored access rights; and based on the determining: accessing the information associated with the requesting identifier from the second shared data ledger; and transmitting at least a portion of the accessed information.

Abstract: A method may include presenting a user interface, the user interface including: a graph presentation area; and a graph link type confirmation area; executing a knowledge graph database search query; in response to the executing, receiving a set of tuple objects corresponding to relationships between entities in the knowledge graph database; populating the graph presentation area with representations of the entities and links connecting the representations of the entities; populating the graph link type confirmation area with a selectable user interface element configured to confirm a relationship of the relationships between entities; receiving activation of the selectable user interface element; and in response to receiving the activation, updating the graph presentation area.

Abstract: An electronic computing device includes a processing unit and system memory. The system memory includes instructions which, when executed by the processing unit, cause the electronic computing device to receive data associated with one or more customers of an institution. The data is received from one or more other electronic computing devices. The received data is analyzed to identify grammatical elements in the data. Relationships are derived between a plurality of the grammatical elements. At least one derived relationship is used to update a profile for a customer. At least one derived relationship is used to identify a customer for which a remedial action is warranted.