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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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.
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. Condición: 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. Nº de ref. del artículo: 4982199
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Taschenbuch. Condición: 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. Nº de ref. del artículo: 9783639377408
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Taschenbuch. Condición: Neu. Service Composition Workspace | a Semantic Web Approach | Yefeng Liu | Taschenbuch | Englisch | VDM Verlag Dr. Müller | EAN 9783639377408 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu. Nº de ref. del artículo: 106841796
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