Machine learning for integrating knowledge and natural language processing

摘要

Problem to be solved: to provide a system for automating the framework for the graph based persistence of the data, and to solve the time-dependent change and uncertainty of the knowledge graph.Natural language understanding is used to extract data from unstructured information, including one or more machine learning models (MLM), including entities and entity relationships.The extracted data is input to the knowledge graph.When kg is changed, kg is used to create a new machine learning model (MLM) and retrain the existing MLM.The weighted data is applied to the input data.Block chain technology is applied to the input data to assure data reliability and provide auditability to assess changes to data.Diagram