Abstract:
A method, machine readable storage medium, and system for providing personalized semantic controls for semantic systems. A semantic network may be set up with initial configuration. A business application user interface, including semantic controls, may be coupled to the semantic network to interact with the semantic network. Semantic objects and relations may be defined in the semantic network for business terminology. A user request for business data may be received. The semantic network may update the objects and relations for business terminology based on the request. The business application user interface may provide for personalized semantic controls based on the updated objects and relations.
Abstract:
A cascading learning system for semantic search is described including the generation, training and testing of a domain-specific module for a domain-specific search. One or more input elements and output elements are specified for the domain-specific module with reference to a domain that relates these elements together through data sets that include related metadata. The related metadata may include semantic terms that are incorporated into a contextual network applicable to the domain.
Abstract:
The present disclosure provides methods, devices, systems, and computer program products for simulating currency risk by analyzing and manipulating financial data stored in an in-memory database and presenting results to a user on a display. The currency risk may be simulated by manipulating the stored financial data according to a business change, a foreign currency share change, and/or a foreign currency exchange rate change. Also provided is a scenario constructor that allows for the creation, simulation, and storage of complex currency risk scenarios.