Research And Implementation Of Description And Matchmaking Model For Logistics Service

With the rapid development of economy and technology,the information technology level of logistics industry is becoming more and more important.However,the logistics resources are difficult to be unified expressions,and the integration of enormous logistics resources need to rely on the sharing of logistics information to achieve the flexible use in the way of service.Service Oriented Architecture(SOA)provides a viable solution for the full utilization of logistics resources.In addition,with the increasing number of same or similar services,how to choose a more appropriate service has also becomes a huge challenge.The thesis has done the works as follows.Firstly,this thesis studies Web service description languages,then the thesis proposes a logistics service description model suitable for the Internet of Things(IoT)environment with the help of the characteristics of Io T services.The logistics resources are mapped with the hierarchy of the model one by one and a language based on XML schema is proposed to describe logistics resources.As a result,logistics resources can be expressed and be used as Web services on the Internet.Secondly,focusing on the problem that tremendous same or similar functions of logistics services are difficult to choose,the thesis studies the nonfunctional attributes of the service.This thesis proposes an efficient matchmaking algorithm based on Quality of Service(QoS)ontology tree,which considers the structure similarity,attribute similarity and constraint similarity of QoS ontology tree comprehensively.Then,the performance of the algorithm is evaluated by simulations.The result of the simulations shows that the proposed algorithm has a good performance.Finally,this thesis combines the previously proposed logistics service description and matchmaking model to design and implement a logistics service selection system.With the help of corresponding quality of service evaluation index,logistics distribution services selection was demonstrated in this system.