earticle

영어

Traditional Data Business Process Outsourcing (Data-BPO) centers are facing the challenge of a static workflow based on manual operation. They cannot adapt to fast-changing demands from customers, which is proving to be a bottleneck in the Data-BPO service. This problem can be resolved through a Data-BPO automated production line, based on the usage of multi-agent (MA) and ontology. Through the cooperation of MA and categorization of ontology, the flexible production line can meet various requirementsofmass-customized data orders from different industries, professions, transactions and classes with instantaneous response. A Data-BPO flexible workflow will beimplemented dynamically, securely, quickly and smoothly. Therefore, developing an auto-processing flexible production line can greatly promote the efficiency and competitiveness of BPO enterprises currently based mostly on manual data-processing stations or manual-input equipment.