International Business Machines Corporation
SMART METADATA MAPPING FOR SENSOR DATA

Abstract:

A method for mapping sensor data to a plurality of properties comprises acquiring sensor data from a sensor, and training a first classification model using data values of sample sensor data to identify patterns for each of the plurality of properties. Each of the patterns corresponds to a different one of the plurality of properties. The method further comprises training a second classification model using a mapping of variables to property types of the sample data to identify associations between the variables and the plurality of properties, and associating subsets of the sensor data with the plurality of properties by processing the sensor data with the first classification model and the second classification model.