Semantic Recognition Of IEM/MO~2GO Pattern In Unstructured Text Or Human Voice

With the rapid development of the Internet and artificial intelligence technologies and the acceleration of economic globalization,industrial production and manufacturing have already risen.In order to cope with the increasingly fierce market competition,more and more companies have begun to introduce business modeling as a new and simple business management model.In this context,Fraunhofer IPK,the German Institute of Production Equipment and Design Technology,has developed a MO2GO(ObjectOriented Business Process Optimization Method)enterprise modeling tool based on IEM(Integrated Enterprise Modeling).IEM is a modeling method based on object-oriented analysis,design and optimization of enterprise processes.In recent years,the work and production processes of enterprises have become more cumbersome and complex.How to easily and accurately read,recognize,and store data in free text or voice to find out the ontology of the corresponding IEM/MO2 GO enterprise model pattern and use the implications of ontology to automatically establish an enterprise model on the MO2 GO system,which greatly liberates the labor force,has become an urgent problem to be solved.At present,there is no research work on semantic recognition of IEM/MO2 GO corporate model patterns in the text or human voice,so this research topic is a challenging and important work.In order to solve this problem,this paper uses the MO2 GO server and local client to conduct an in-depth study on the semantic recognition of IEM/MO2 GO patterns in unstructured text or speech based on IEM modeling ideas.This paper uses relevant concepts and key technologies such as ontology,syntactic analysis,named entity recognition,relationship extraction,and speech recognition to automatically identify and extract entities and relationships in IEM /MO2 GO ontology in text or speech,and extract the obtained entities.The triples are stored and visualized,and finally the corresponding enterprise model is automatically constructed in the MO2 GO system based on the ontology information.This article uses Java Web development technology to design and implement an IEM/MO2 GO semantic recognition system,which displays the semantic recognition function of the IEM/MO2 GO pattern in text or speech,and finally realizes the automatic construction of the IEM model.The system is verified through system testing and the experimental results show the correctness and practicability of mapping the ontology to the enterprise model established in the MO2 GO system.