scholarly journals The Semantic Model-Driven Service Systems Architecture Modeling Based on Domain Ontologies.

2016 ◽  
Vol 38 (5) ◽  
pp. 43-60
Author(s):  
A.A. PETRENKO ◽  
◽  
A.I. PETRENKO ◽  
2010 ◽  
pp. 560-582
Author(s):  
Andrew Targowski

The purpose of this study is to define generic service processes, their system, and a scope of service science developed originally by the author. In the presented approach, the main criterion is the class of serviced users, since this leads to the six kinds of process recognition and eventually helps in planning e-service systems’ architecture. E-service system (e-SS) is defined as a mission-goal-strategy-driven configuration of technology, organizational processes and networks designed to deliver HTservicesTH that satisfy the needs, wants, or aspirations of customers. Marketing, operations, and global environment considerations have significant implications for the design of an e-service system. Four criteria which impact e-service systems’ architecture have been defined as: service business model, customer contact and level of involvement (Service User Interface), service provider’s enterprise complexity (Enterprise Systems and Networks), and scope of goods involved in service. It was proved that the e-service system is the intermediary layer between Service User Interface and Enterprise Systems and Networks. Two examples of e-SS have been modeled.


2017 ◽  
pp. 487-502
Author(s):  
Asif Qumer Gill

Adaptive enterprise architecture capability plays an important role in enabling complex enterprise transformations. One of the key challenges when establishing an adaptive enterprise architecture capability is identifying the enterprise context and the scope of the enterprise architecture. The objective of this paper is to develop and present an adaptive enterprise service system (AESS) conceptual model, which is a part of The Gill Framework for Adaptive Enterprise Service Systems. This model has been developed using a “Design Research” approach. The AESS conceptual model assimilates agility, service, and living systems thinking (following multi-agent system modelling) for describing and analyzing the enterprise context and scope for establishing an adaptive enterprise architecture capability. The target audience of this AESS model driven approach includes both, enterprise architecture researchers and practitioners.


Author(s):  
Naziha Laaz ◽  
Karzan Wakil ◽  
Sara Gotti ◽  
Zineb Gotti ◽  
Samir Mbarki

This chapter proposes a new methodology for the automatic generation of domain ontologies to support big data analytics. This method ensures the recommendations of the MDA approach by transforming UML class diagrams to domain ontologies in PSM level through ODM, which is an OMG standard for ontology modeling. In this work, the authors have focused on the model-driven architecture approach as the best solution for representing and generating ontology artifacts in an intuitive way using the UML graphical syntax. The creation of domain ontologies will form the basis for application developers to target business professional context; however, the future of big data will depend on the use of technologies to model ontologies. With that said, this work supports the combination of ontologies and big data approaches as the most efficient way to store, extract, and analyze data. It is shown using the theoretical approach and concrete results obtained after applying the proposed process to an e-learning domain ontology.


Author(s):  
Katsumi Kawano

This chapter shows a systems technologies framework to lead the approach to design information service system architecture standing on the systems concept. It also presents application examples for building smart public infrastructures. Moreover, it shows that a systems concept, autonomous decentralization, gives a consistent design approach for the reference architecture, the concrete architecture, and the implementation. The presented service system provides an autonomous process for a service receiver to get valued information changing the state of the receiver. The example of the service system provides, recursively, the information to see in smart public infrastructures (MIERUKA in Japanese) for rapid decision making among stakeholders in the business process.


2012 ◽  
pp. 102-125 ◽  
Author(s):  
Michael Gebhart

This chapter focuses on the identification and specification of services based on prior modeled business processes and legacy systems. The resulting service interfaces and service components formalized by using the Service oriented architecture Modeling Language (SoaML) describe the integration of legacy systems into a service-oriented application landscape. The legacy systems provide services for integration purposes and represent the implementations of service components. Additionally, the resulting architecture allows functionality of legacy systems to be replaced with functionality provided by external cloud services. According to model-driven development concepts, the formalized service interfaces and service components as part of the service designs can be used to automatically derive service interface descriptions using the Web Services Description Language (WSDL). These descriptions enable the technical integration of legacy systems. If necessary, service implementations based on the Service Component Architecture (SCA) and the Business Process Execution Language (BPEL) can be generated.


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