Knowledge Graph-Based Representation and Extraction of Process Data
Process data is one of the most critical types of data in discrete manufacturing enterprises,and how to integrate heterogeneous process data has become a crucial issue for current enterprises.A method based on a knowledge graph is proposed for the expression and extraction of process data.A process ontolo-gy model is established with a focus on products,process workflows,factories,and resources,serving as the central structure for the knowledge graph model to standardize the architecture and achieve unified expres-sion of process data.For the extraction of data from structured process databases and semi-structured process cards,a method based on ontology alignment is proposed to extract data into the knowledge graph.In the case of unstructured process statements,an information extraction method combining entity recogni-tion models and ontology reasoning is employed.A prototype system for process data modeling and extrac-tion based on a knowledge graph is constructed,validating the effectiveness of the proposed method.
万方数据
维普
