Large-scale semantic knowledge acquisition and application for cyber-physical-social systems

Knowledge is the base to support cyber-physical-social systems (CPSSs) to achieve intelligent decision-making and control of the industrial process. In order to achieve large-scale semantic knowledge acquisition and application for CPSSs, in this paper, we systematically proposes a technical framework including data acquisition and fusion, knowledge acquisition and representation, knowledge evolution, knowledge reasoning, which supports the automatic transferring of the whole process from data to knowledge and then from knowledge to decision. This framework will greatly enhance the capability of CPSSs including automatically knowledge acquisition, updating and iteration, reasoning and decision-making with massive multisource heterogeneous data, so as to build a knowledge-based semantic cognition and autonomous decision-making brain for the industrial process.