Raytheon Company

Senscio Systems

Piali De

Hugh A Stoddart

John E Rannenberg

John A Cogliandro

Amir W Habboosh

Joe R Wang

A personal illness management system includes an extended semantic model of a health care knowledge domain, a semantic knowledge database for personal illness management, and an inference engine. The extended semantic model of a health care knowledge domain includes existing concepts related to personal illness management, existing relationships among the existing concepts, and inference logic embedded within each existing concept. The semantic knowledge database for personal illness management is distinct from the extended semantic model and includes existing nodes and existing links. The existing nodes represent instances of the existing concepts, and the existing links represent instances of the existing relationships among the existing concepts. The inference engine is knowledge domain independent and populates the semantic knowledge database with the instances of the existing concepts and the instances of the existing relationships by following the inference logic embedded within each existing concept.

Systems and methods for semantic reasoning in personal illness management

A system for providing semantic reasoning includes an extended semantic model, a semantic knowledge database, and an inference engine. The extended semantic model includes existing concepts for a specific knowledge domain, existing relationships among the existing concepts, and logic including conditions and processes that cause a new concept or a new relationship to be inferred from an existing concept or an existing relationship, respectively. The semantic knowledge database includes existing nodes and existing links and the existing nodes represent instances of the existing concepts, and the existing links represent instances of the existing relationships. The inference engine is configured to add new nodes and new links to the semantic knowledge database by following the logic of the extended semantic model.

Systems and methods for semantic reasoning

In one aspect, a command and control (C2) system includes a domain-independent architecture comprising an ontology model. The ontology model includes a resource aspect configured to receive entities specific to a domain, a responsibility aspect configured to receive actions specific to the domain and performed by the entities, a rules aspect configured to receive rules specific to the domain and associated with the actions and a results aspect configured to receive effects specific to the domain and associated with the actions.

Domain-independent architecture in a command and control system

In one aspect, the invention is a method for adaptive mission profiling. The method includes integrating mission components used in a mission and associating the mission components to metadata. The method also includes transferring messages from the mission components and determining a status of the mission based on the messages and the metadata.

Adaptive mission profiling

A method for mission profiling includes generating a human model including human activities and generating a system model including system functions. The method also includes generating an operational node model, including operational activities; and integrating the human model, the system model and the operational model to form an integrated mission model.

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Harvard, MA, United States of America

Piali De