Service Oriented Opportunistic Sensor Networks (TOppS) project at the Swedish Defense Research Agency aims to offer user numbers of services from sensor networks. As non- technicians, end-user of TOppS would require a user-friendly GUI with the ability of manipulating the gathered web services to create new service which can meet their own demands. In this work, we designed and implemented a Web-based graphical workspace prototype called Service Composition Workspace (SCW) using Semantic Web technologies such as includes Web Ontology Language (OWL), Ontology Web Language for Services (OWL-S), etc. SCW offers not only the capability of dynamically composing Web services, but also the ability of outputting "machine-understandable" data, which can be directly processed by computer system without human intervention. The workspace also provides a drag & drop user interface for end-users to easily create and modify their own system configuration on-the-fly. The effectiveness and functionality of proposed model is evaluated by vast test cases.
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Yefeng Liu, PhD Candidate, Computer Science Department, Waseda University, Japan. MSc, Chalmers University of Technology, Sweden. Chief Product Officer at DiggerLab Inc., Tokyo.
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Kartoniert / Broschiert. Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Liu YefengYefeng Liu, PhD Candidate, Computer Science Department, Waseda University, Japan. MSc, Chalmers University of Technology, Sweden. Chief Product Officer at DiggerLab Inc., Tokyo.Service Oriented Opportunistic Sensor Ne. Seller Inventory # 4982199
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Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Service Oriented Opportunistic Sensor Networks (TOppS) project at the Swedish Defense Research Agency aims to offer user numbers of services from sensor networks. As non- technicians, end-user of TOppS would require a user-friendly GUI with the ability of manipulating the gathered web services to create new service which can meet their own demands. In this work, we designed and implemented a Web-based graphical workspace prototype called Service Composition Workspace (SCW) using Semantic Web technologies such as includes Web Ontology Language (OWL), Ontology Web Language for Services (OWL-S), etc. SCW offers not only the capability of dynamically composing Web services, but also the ability of outputting 'machine-understandable' data, which can be directly processed by computer system without human intervention. The workspace also provides a drag & drop user interface for end-users to easily create and modify their own system configuration on-the-fly. The effectiveness and functionality of proposed model is evaluated by vast test cases. Seller Inventory # 9783639377408
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