In order to solve the semantic heterogeneity problems about business event processing of manufacturing enterprises based on massive
perception data in supply chain environment, which made it hard for integrated and efficient application, an ontology-driven method for distributed information processing was proposed. Firstly, The perception-based supply chain event ontology was presented and built, which could express enterprise business process preferably, and the conversion from heterogeneous information sources to fact triples described by unified semantics was realized by ontology mapping; then according to the event ontology, the SWRL (Semantic Web Rule Language) based event processing rules were defined and built, which could realize the enterprise decision application. Next a strategy about rule splitting and fact distribution was presented, and a distributed processing framework based on rule matching was built by using MapReduce and Rete algorithms, which could handle big data efficiently. At last, taking the result accuracy and processing efficiency as key indexes, an example based on enterprise data was comparatively analyzed to show that this method is viable.
WU Jian, NI Yi-hua, LV Yan. ntology-driven approach for distributed information processing in supply chain environment. JOURNAL OF ZHEJIANG UNIVERSITY (ENGINEERING SCIENCE), 2014, 48(11): 2017-2024.
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