Intelligent reasoning framework for user intent extraction

A system comprising a processor, memory accessible by the processor, and computer program instructions stored in the memory and executable by the processor to perform:

• receiving data relating to a plurality of aspects of at least one person, including data from at least one of physical or physiological sensors and communicatively connected devices;
• extracting from the received data, features relevant to events relating to at least one person using a models processor adapted to select and process models for feature extraction, the processed models including at least ensemble models;
• extracting, at the computer system, at least one intent of at least one event relating to at least one person using an intent extractor adapted to use ensemble models to process and integrate persona data, ontology data from an ontology database comprising context domain data and world data, and extracted features, and wherein extracting the at least one intent comprises performing intention awareness processing to form multidimensional intention awareness vectors and determining a component of at least one multidimensional intention awareness vector as a barycenter of the weighted points of the vector, forming multidimensional intention vectors and determining a component of at least one multidimensional intention vector as a barycenter of the weighted points of the vector, and generating an ensemble datastream representing the extracted at least one intent by fusing the intention awareness vectors and the intention vectors;
• and performing an action based on the extracted at least one intent.

A computer program product comprising a non-transitory computer readable storage having program instructions embodied therewith, the program instructions executable by a computer, to cause the computer to perform a method comprising:

• receiving, at the computer system, data relating to a plurality of aspects of at least one person, including data from at least one of physical or physiological sensors and communicatively connected devices;
• extracting, at the computer system, from the received data, features relevant to events relating to at least one person using a models processor adapted to select and process models for feature extraction, the processed models including at least ensemble models;
• extracting, at the computer system, at least one intent of at least one event relating to at least one person using an intent extractor adapted to use ensemble models to process and integrate persona data, ontology data from an ontology database comprising world data and extracted features, wherein extracting the at least one intent comprises performing intention awareness processing to form multidimensional intention awareness vectors and determining a component of at least one multidimensional intention awareness vector as a barycenter of the weighted points of the vector, forming multidimensional intention vectors and determining a component of at least one multidimensional intention vector as a barycenter of the weighted points of the vector, and generating an ensemble datastream representing the extracted at least one intent by fusing the intention awareness vectors and the intention vectors;
• and
• performing, at the computer system, an action based on the extracted at least one intent.