An Ontology-driven Approach For Distributed Information Processing In Supply Chain Environment

At present, in supply chain activities of manufacturing enterprise, the information interaction inside and between enterprises is increasingly frequent, and the enterprise processing on business decision based on perceptual information is becoming more and more important. With the support from the National Natural Science Foundation of China (No.61175125) and Zhejiang Natural Science Foundation (No.Y1110414), this paper takes business processing on event decision-making as research object, based on existing technologies, researched and implemented ontology-driven and distributed information processing method on heterogeneous and massive information. Main contents including:Chapter Ⅰ firstly introduced the background and significance of research, and overviewed the research status of related topics. Then, the content and architecture of this thesis was discussed.Chapter Ⅱ proposed the ontology driven and distributed information processing mechanism, and built corresponding system framework including all levels of research methods. Based on this, the key technologies used in thesis were elaborated.Chapter Ⅲ studied the heterogeneous data integration method based on event and ontology. Firstly, completed the construction of supply chain event ontology based on ABC model and SCOR model; then, researched the automatic access rules on local ontology, and used ontology mapping to realize heterogeneous data integration; lastly, studied the definition and building of event handling rules.Chapter IV studied the distributed decision-making approach. The framework of distributed information processing was proposed, and the rule splitting, subrule building, fact distribution and filtration based on Rete and MapReduce algorithm were researched. Meanwhile, through the Map and Reduce functions, the business decision-making mechanism was discussed.Chapter V discussed the experimental verification and system development. A contrast experiment was designed by taking accuracy and efficiency as key indexes to verify the effectiveness of the proposed method. Meanwhile, we developed an integration platform for enterprise business decision of supply chain, and studied corresponding running mechanism.Chapter VI summarized the whole thesis, and forecasted further research directions.