Abstract: The disclosed technology can execute a sequence of transactions to process a request associated with a health care company and/or other entities interacting in a health care industry. Execution of at least some of the transaction sequence can result in the formation of an instance of a semantic network that can be used to support such processing. The request can correspond to a change in a relationship associated with such entities, where such request corresponds to an electronic document exhibiting a structured natural language format with a fixed context and a fixed grammar.

Abstract: The disclosed technology can identify indicia associated with different entity types (e.g., health care companies, health care suppliers, health care practitioners, etc.) that interact within a health care industry, identify one or more relationships (e.g., contractual provisions) that can affect interactions between such entity types, and identify transactions associated with one or more of the interactions. Further, the identified transactions can be organized into one or more transaction sequences. The identified indicia, the one or more identified relationships, and the one or more transaction sequences can then be associated to form a semantic network. An instance of the semantic network can be formed based, at least in part, on a detection of at least one interaction associated with the entities.

Abstract: The disclosed technology can identify indicia associated with different entity types that interact within an industry, identify one or more relationships (e.g., contractual provisions) that can affect interactions between such entity types, and identify transactions associated with one or more of the interactions. Further, the identified transactions can be organized into one or more transaction sequences. The identified indicia, the one or more identified relationships, and the one or more transaction sequences can then be associated to form a semantic network. An instance of the semantic network can be formed in response to the execution of at least some of the transaction sequence and can serve, at least in part, as the basis for processing requests associated with the entities. The requests can correspond to interactions associated with the entities and may be represented in a natural language format, exhibiting a fixed context and a fixed grammar.