Value Semantic Oriented Service Model And Modeling Tools

During the whole lifecycle of the service system, the service engineeringapproach to its description, modeling, implementation and operation andmaintenance, and service modeling is one of the important components in it. For theservice provider and customer, value is the ultimate goal of their expectations fromthe service. But current service engineering methods only focuse on servicefunctionality and performance in service modeling process, ignore the "value"elements in the service lifecycle, also can not support the treatment strategies whenthe uncertainty situation appears and model supports when mass personalizedrequirements needs to be modeled.Therefore, this paper treats value semantic as the starting point of the servicesystem, and has extended value semantics for service model so that service modelcan support the service analysis and optimization and the composition ofsubsequent service components. The paper research content mainly includesfollowing several aspects:(1) The value semantics in a service system is classified into five types:content, quality, value, uncertainties and personalization. The paper analyzes theinclusion relationships between them based on the role of semantics in the servicesystem. And then this paper gives formal descriptions of the five types of valuesemantics and the customers personalized demand of eight types.(2) The paper describes the the visualization of the value semantics in theservice modeling tool, and then portrays them in detail in the Legend of the servicemodeling process visualization and corresponding attribute.(3) The paper expands the value semantics of existing service modeling tools.The new tool introduces:1) A standard modeling process of the service model andthe model specification which supports the value semantics.2) The configuration ofcustomizing service model personalized semantics and customer personalizedsemantics.3) The configuration of the uncertainty semantics in the service model,and the processing strategies for uncertainties.4) The classification of semanticinconsistencies, and the reduction recommendations for inconsistencies.Finally, in the basis of the above-mentioned theoretical studies and existingmodeling tools, the paper has designed and implemented value-oriented semanticsexpansion service modeling tool, illustrated system module functions and modeldisplays; and verified the relevant service model using Less than Container Load(LCL) in maritime logistics.