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.
Please help me write a proper abstract based on the patent claims. CLAIM: 1. A personal illness management system comprising: an extended semantic model of a health care knowledge domain comprising existing concepts related to personal illness management, existing relationships among the existing concepts, and inference logic embedded within each existing concept, wherein each existing concept comprises associated properties and wherein the embedded inference logic is used for inferring values of said associated properties and comprises conditions and processes for drawings inferences about an existing downstream concept that is connected to an existing concept via an existing relationship; a semantic knowledge database for personal illness management being distinct from the extended semantic model and comprising existing nodes and existing links and wherein the existing nodes represent instances of the existing concepts, and the existing links represent instances of the existing relationships among the existing concepts; an inference engine that is knowledge domain independent and populates the semantic knowledge database with said instances of the existing concepts and said instances of the existing relationships by following the inference logic embedded within each existing concept, and wherein the inference engine adds new nodes and new links to the semantic knowledge database by first receiving external data, next generating instances of fact nodes and associated links representing said external data, and then recursively adding and updating downstream insight nodes and associated links; a computing system comprising at least a processor configured to execute the inference engine operating on the inference logic of the extended semantic model and to host the semantic knowledge database; a user interface that sends queries from a patient and/or a caregiver to the semantic knowledge database and receives query results and provides decision support to the patient and/or the caregiver; and wherein the system provides computer implemented instructions for semantic reasoning for behavioral activation of the patient to manage the patient's illness. 2. The system of claim 1, further comprising interactive devices comprising at least one of a care station, a wearable sensor, an external sensor, a personal communication device, a care portal, and wherein the patient and/or the caregiver send data to the inference engine through at least one of the interactive devices and receive query results from the semantic knowledge base. 3. The system of claim 2, wherein the care station and/or the care portal comprise the user interface that sends queries from the patient and/or the caregiver to the semantic knowledge database and provides decision support to the patient and/or the caregiver. 4. The system of claim 2, wherein the personal communication device is a wearable device that transmits movement data to the inference engine and notifies the patient when the patient needs to be alerted or reminded of a certain action. 5. The system of claim 1, wherein the computer implemented instructions for semantic reasoning for behavioral activation of the patient comprise structuring and scheduling activities for the patient, monitoring the patient's scheduled activities, analyzing data from the patient's scheduled activities, identifying problems with the patient's scheduled activities, and activating follow-up activities. 6. The system of claim 5, wherein structuring and scheduling activities for the patient comprise providing instructions for taking medication, meals, exercising, monitoring vital signals, checking for symptoms, clinical appointments and social events. 7. The system of claim 5, wherein monitoring the patient's scheduled activities and analyzing data from the patient's scheduled activities comprise monitoring the patient's vital signals, symptoms, medication adherence, meal taking, exercising, clinical appointment attendance, and response to social interactions. 8. The system of claim 5, wherein identifying problems with the patient's scheduled activities comprise making inferences about quality of adherence to taking medications, meals, exercising, attendance of clinical appointments, vital signal response, symptom checking, and response to social interactions. 9. The system of claim 1, wherein the existing concepts of the extended semantic model comprise concepts for people involved in illness management and wherein the concepts for people comprise patients, caregivers, and physicians, and wherein the existing relationships among the existing concepts describe which caregiver is assigned to which patient, and which physician is assigned to which patient, and wherein each concept comprises notes including name, age and gender. 10. The system of claim 1, wherein the existing concepts of the extended semantic model further comprise concepts for providing illness management and wherein the concepts for providing illness management comprise clinical appointment, hospital discharge, care guide, medication guide, medicine supply, medicine bottle, exercise guide and master adherence. 11. The system of claim 1, wherein the external data that the inference engine receives comprise patient care plan data, patient vital signal data, patient symptom data, patient self-reported care plan adherence data, and patient movement data. 12. The system of claim 11, wherein the inference engine processes the external data and adds insight nodes that comprise patient daily care plan, timely reminders for care tasks, monitor task performance, monitor health, and further reminders when there is an issue with health or adherence. 13. The system of claim 1, wherein each existing node comprises existing notes representing instances of the associated properties of each existing concept. 14. The system of claim 1, wherein the existing links that connect the existing nodes comprise directionality originating from an upstream node and terminating at a downstream node. 15. The system of claim 1, further comprising a data normalizer configured to receive data and normalize them to the existing concepts and existing relationships of the extended semantic model. 16. The system of claim 1, further comprising a repertoire library and wherein the repertoire library comprises a set of repertoire functions, wherein each repertoire function is assigned an unique identifier number that associates the repertoire function with the inference logic embedded in each concept in the extended semantic model and wherein the repertoire functions are automatically invoked by the inference engine in the process of adding and updating insight nodes. 17. The system of claim 16, wherein the set of repertoire functions comprise one of resolver, context-gate, collector, qualifier or operators, and wherein each type of repertoire function fulfills a specific role in the inference process. 18. The system of claim 1, wherein the extended semantic model further comprises upstream concepts and downstream concepts and wherein the upstream concepts are connected to the downstream concepts via relationships, and wherein the inference logic of each upstream concept further comprises conditions and processes for creating and updating instances of corresponding downstream concepts and wherein each of the downstream concepts is automatically inferred by the inference engine using the inference logic embedded in a corresponding upstream concept whenever the corresponding upstream concept is instanced as a node or when the node is modified and the conditions for creating or updating the downstream concept are met. 19. The system of claim 1, wherein each of said properties comprises values associated with an existing concept or a chain of links connecting data within an upstream concept with a downstream concept and wherein said properties are used by the inference engine for implementing the logic for instancing an associated link to a downstream concept or for instancing properties of said downstream concept. 20. The system of claim 1, further comprising an extensible meta-language for querying the semantic knowledge base and wherein the extensible meta-language comprises a vocabulary of fundamental words that are common to all extended semantic models and independent of any specific domain knowledge contained in any specific semantic model and wherein the inference engine has a built-in interpreter that can perform the actions specified in the fundamental words, and wherein the inference engine can interpret a collection of words built from fundamental words and wherein new domain specific query words are built upon the fundamental words such that they can be interpreted and implemented by the inference engine without the inference engine being coded with domain specific query logic. 21. The system of claim 1, wherein the computing system comprises a mechanism for storing and retrieving knowledge to and from the semantic knowledge base that is distributed over multiple computing systems. 22. The system of claim 1, wherein the extended semantic model is extended by adding new fact concepts, new insight concepts, or another extended semantic model and wherein the addition of each new insight concept includes specifying within its upstream concepts the logic to adding or updating the new insight concept. 23. A method for providing personal illness management comprising: providing an extended semantic model of a health care knowledge domain comprising existing concepts related to personal illness management, existing relationships among the existing concepts, and inference logic embedded within each existing concept, wherein each existing concept comprises associated properties and wherein the embedded inference logic is used for inferring values of said associated properties and comprises conditions and processes for drawings inferences about an existing downstream concept that is connected to an existing concept via an existing relationship; providing a semantic knowledge database for personal illness management being distinct from the extended semantic model and comprising existing nodes and existing links and wherein the existing nodes represent instances of the existing concepts, and the existing links represent instances of the existing relationships among the existing concepts; providing an inference engine that is knowledge domain independent and populates the semantic knowledge database with said instances of the existing concepts and said instances of the existing relationships by following the inference logic embedded within each existing concept, and wherein the inference engine adds new nodes and new links to the semantic knowledge database by first receiving external data, next generating instances of fact nodes and associated links representing said external data, and then recursively adding and updating downstream insight nodes and associated links; providing a computing system comprising at least a processor configured to execute the inference engine operating on the inference logic of the extended semantic model and to host the semantic knowledge database; providing a user interface that sends queries from a patient and/or a caregiver to the semantic knowledge database, receives query results and provides decision support to the patient and/or the caregiver; and providing computer implemented instructions for semantic reasoning for behavioral activation of the patient to manage the patient's illness.