Intelligent and interactive knowledge system

A computer system for enhancing a data query, the computer system comprising:

• a bus system;
• a storage device connected to the bus system, wherein the storage device stores program instructions;
• and
• a processor connected to the bus system, wherein the processor executes the program instructions to:
• search a knowledge base in an interactive knowledge system for health-related problem information corresponding to the data query;
• determine that a query result is greater than a query result threshold level of information for the data query based on a query intent and keywords of the data query identified via natural language processing;
• send, without user intervention, a set of health-related problem questions to a personal digital agent of a client device that corresponds to a user that sent the data query, for additional information based on the query intent and the keywords in response to determining that the query result is not greater than the query result threshold level of information for the data query based on the query intent and the keywords, wherein the additional information contains personal information corresponding to the user, and wherein the user is unaware that the personal information relates to the query intent and the keywords, wherein the set of health-related problem questions relate to the health-related problem information;
• generate a number of analytic concepts based on answers received from the personal digital agent answering the set of health-related problem questions sent to the personal digital agent, wherein the answers come from a number of analytic modules of the personal digital agent that are downloaded from a public module repository based on a type of data sent to the personal digital agent of a client device;
• receive analytic concepts in answer to the set of health-related problem questions from analytic modules of the personal digital agent that are based on IoT-based personal data corresponding to the user, wherein the analytic modules utilize neural networks or support vector machines to weight and classify historical IoT-based personal data corresponding to the user based on a timestamp of the historical IoT-based personal data;
• and
• automatically enhance the data query without user intervention using the analytic concepts answering the set of health-related problem questions to form an enhanced data query indicating unusual conditions related to the health-related problem information, wherein the personal digital agent fills chatbot slots of the interactive knowledge system based on information that the personal digital agent extracts from the historical IoT-based personal data corresponding to the user, wherein the data query is enhanced by discovering personal data patterns and relationships between events in the historical IoT-based personal data.

A computer program product for enhancing a data query, the computer program product comprising a computer readable storage medium having program instructions embodied therewith, the program instructions executable by a computer to cause the computer to perform a method comprising:

• searching, by a computer, a knowledge base in an interactive knowledge system for health-related problem information corresponding to the data query;
• determining, by the computer, that a query result is greater than a query result threshold level of information for the data query based on a query intent and keywords of the data query identified via natural language processing;
• responsive to the computer determining that the query result is not greater than the query result threshold level of information for the data query based on the query intent and the keywords, sending, by the computer, without user intervention, a set of health-related problem questions to a personal digital agent of a client device that corresponds to a user that sent the data query, for additional information based on the query intent and the keywords, wherein the additional information contains personal information corresponding to the user, and wherein the user is unaware that the personal information relates to the query intent and the keywords, wherein the set of health-related problem questions relate to the health-related problem information;
• generating, by the personal digital agent, a number of analytic concepts based on answers received from the personal digital agent answering the set of health-related problem questions sent to the personal digital agent, wherein the answers come from a number of analytic modules of the personal digital agent that are downloaded from a public module repository based on a type of data sent to the personal digital agent;
• receiving, by the computer, analytic concepts in answer to the set of health-related problem questions from analytic modules of the personal digital agent that are based on IoT-based personal data corresponding to the user, wherein the analytic modules utilize neural networks or support vector machines to weight and classify historical IoT-based personal data corresponding to the user based on a timestamp of the historical IoT-based personal data;
• and
• automatically enhancing, by the computer, the data query without user intervention using the analytic concepts answering the set of health-related problem questions to form an enhanced data query indicating unusual conditions related to the health-related problem information, wherein the personal digital agent fills chatbot slots of the interactive knowledge system based on information that the personal digital agent extracts from the historical IoT-based personal data corresponding to the user, wherein the data query is enhanced by discovering personal data patterns and relationships between events in the historical IoT-based personal data.