The invention relates to the technical field of
data processing, in particular to a complex semantic-oriented
business process multi-agent modeling and intelligent error
correction method and
system. The method comprises the following steps: firstly, based on a BPMN meta-model, disassembling
business process elements, analyzing BPMN specifications, forming a structured framework of
business process modeling,
processing unstructured texts in parallel through an
intelligent agent group, identifying business process key concepts, mapping the business process key concepts into semi-structured information, and generating a preliminary extraction result; verifying the integrity of the preliminary extraction result based on a BPMN specification, and generating an information integrity
verification report; based on an information integrity
verification report, missing information of the preliminary extraction result is retrieved through a
knowledge base and complemented; performing secondary
verification on the complemented extraction result, and correcting the complemented extraction result based on
business logic and user requirements; and generating an
XML code and a
visual flow chart conforming to the BPMN specification based on the corrected extraction result. According to the method, the problems of semantic fracture and structure deficiency of the complex semantic text in
business process modeling can be effectively solved.