Study On Classification And Information Characterization Method Of Online Shopping Logistics Distribution Resources Oriented To Task

With the rapid development of Internet technology and the computer information technology, the scale of China’s e-commerce market expands increasingly and stably, and the network shopping development prospects become vaster. Online customer scale grows at the same time, which brings a surge to the logistics service industry in business, and also it provides a good opportunity for the rapid development of logistics industry. In such a situation, logistics services, as a value-added service, is becoming one of the pillar industries of China’s national economy.Logistics industry information construction is the absolute path in the development of Chinese logistics enterprises and also caused a heat discussion in the field of logistics. Scientific classification method is the basis of the information construction of logistics resources. However, the classification from the subjective and experience angles by industry management and operational level are lack of scientific theory support and objective data base, leading to resource category similarity and complexity, which restricts the business of specialty and agility. On the other hand, the network shopping business transforms to the mode of preferences and push functions gradually, the customer-oriented service is the tendency. The enterprises in the process of logistics resource information lacking of scientific characterization method with higher extensibility, has become the bottleneck of logistics industry information development. In a sum, high efficiency, pushing and matching, extension and compatibility are three requirements in the management and information construction of online shopping logistics resources.Logistics resources are studied in mentality of reverse discussion in this paper, combining with the current research hotspot of big date. Classification and information characterization method of online shopping logistics resources oriented to task is proposed.○1 The character and requirement of online shopping logistics business are studied. The class system and property structure of logistics resources are analyzed,and the requirement of the online shopping logistics resources classification and information characterization method are studied. The conception of task-oriented decision property and the corresponding class system are proposed. Data mining technology,rough set and ontology theory are overviewed at last, which can provide the basis for the following researches.○2 The classification method of online shopping logistics resources based on date mining is proposed. The property reduction based on decision table is discussed, and the property reduction method of online shopping logistics resources based on mutual information is proposed. On the basis of property reduction, the classification method of online shopping logistic resources based on property importance and ID3 algorithm is proposed, and the treatment method on the incompatible information with the certainty factor CD is proposed, then the task- oriented classification rules of online shopping logistics resources can be excavated at last.○3 the task-oriented information characterization method of online shopping logistics resources is proposed. Based on the requirement of the online shopping logistics resources ontology, the principle of resource information base is proposed. The classes, grades, and property structure based on ontology model are analyzed. The model is described by OWL(Web Ontology Language), then the ontology resources information base with pushing and match function is established by protégé. At last the rationality of resources classification method and the validity of information characterization method are verified by the case.