Abstract: Various examples are directed to systems and methods for utilizing relationship data in a computing system. The computing system may extract first relationship data from a document and determine a first confidence value describing the first relationship data. The computing system may write the first relationship data to a knowledge graph data structure. The computing system may serve a first user interface page to a user computing device associated with a first user and receive feedback data describing an accuracy of the first relationship data. The computing system may modify a first confidence subunit of a triple data unit associated with the relationship to describe an updated confidence value based on the feedback data and a trust score of the first user.

Abstract: Various examples are directed to systems and methods for utilizing relationship data in a computing system. The computing system may extract first relationship data from a document and determine a first confidence value describing the first relationship data. The computing system may write the first relationship data to a knowledge graph data structure. The computing system may serve a first user interface page to a user computing device associated with a first user and receive feedback data describing an accuracy of the first relationship data. The computing system may modify a first confidence subunit of a triple data unit associated with the relationship to describe an updated confidence value based on the feedback data and a trust score of the first user.

Abstract: The example embodiments are directed to a host system that can convert human-readable rules (e.g., statutes, regulations, laws, etc.) into a semantic model. The host system can then apply the semantic model to a set of circumstances to determine whether and how the rule applies to the circumstances. In one example, the method may include storing a knowledge graph with a semantic model of a rule embodied therein with nodes representing entities within the rule, edges between the nodes representing relationships between the entities, and identifiers of an input data set used by the rule, receiving input data corresponding to the rule, generating a determination from the rule via execution of the semantic model embodied within the knowledge graph on the received input data, and displaying a notification of the determination via a user interface.

Abstract: Various examples are directed to systems and methods for utilizing relationship data in a computing system. The computing system may extract first relationship data from a document and determine a first confidence value describing the first relationship data. The computing system may write the first relationship data to a knowledge graph data structure. The computing system may serve a first user interface page to a user computing device associated with a first user and receive feedback data describing an accuracy of the first relationship data. The computing system may modify a first confidence subunit of a triple data unit associated with the relationship to describe an updated confidence value based on the feedback data and a trust score of the first user.

Abstract: A mobile device and method includes receiving communications from an application server at a touchscreen based mobile device, wherein the communications are tailored for providing a user interface for a workstation computer system, translating the received communications at the mobile device into a mobile device user interface tailored for the mobile device touchscreen, receiving user interactions via the mobile device touchscreen, translating the received user interactions into corresponding workstation based user interactions, and transmitting the translated user interaction to the application server such that the application server interacts with the mobile device in the same manner as with workstations.

Abstract: A mobile device and method includes receiving communications from an application server at a touchscreen based mobile device, wherein the communications are tailored for providing a user interface for a workstation computer system, translating the received communications at the mobile device into a mobile device user interface tailored for the mobile device touchscreen, receiving user interactions via the mobile device touchscreen, translating the received user interactions into corresponding workstation based user interactions, and transmitting the translated user interaction to the application server such that the application server interacts with the mobile device in the same manner as with workstations.