Semantic Web-Based Information Systems: State-of-the-Art ...

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Figure 11. Use case scenario of the SmartResource I “Service” Labelled data Diagnostic model Querying data for learning General Adaptation Framework 81 Labelled data “Device” Learning sample and querying diagnostic results “Expert” History data Querying diagnostic results after analysis. The labeled data in the RSCDF format is stored in the history of the device and further is used for a learning procedure with the service. In order to meaningfully read the device history, service utilizes the corresponding adapter. Thus, the tasks of the three adapters generated using General Adaptation Framework, are as follows: 1. Transform XML-based descriptions of the device history into the appropriate RSCDF form (instances). 2. After that, on the request of the expert (diagnostics) or service (learning/diagnostics), the adapter has to transform device data from the RSCDF form to the representation that is more convenient for the expert/service. Feedback of the expert or service has to be converted again into RSCDF for further reading by the device logics. Let us describe the sequence of operational steps that occur according to the use case scenario. The corresponding sequence diagram created with the Poseidon UML modeling tool is presented in Figure 12. In the figure, four acting objects of the scenario are shown: Service Prototype, Device Prototype, Expert Prototype, and a Human User actor. The prototypes comprise corresponding adapters, and a simple logic of interaction among each other is used for testing the adapters. The Human User actor represents a Web-browser-based user interface designed for monitoring Copyright © 2007, Idea Group Inc. Copying or distributing in print or electronic forms without written permission of Idea Group Inc. is prohibited.
Kaykova, Khr yenko, Kovtun, Naumenko, Terz yan, & Zharko Figure 12. Sequence diagram of the SmartResource I use case scenario Copyright © 2007, Idea Group Inc. Copying or distributing in print or electronic forms without written permission of Idea Group Inc. is prohibited.
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Semantic Web-Based Information Syst
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Semantic Web-Based Information Syst
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Chapter.VIII Querying.the.Web.Recon
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the semantics in the Semantic Web.
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the conventional Web, and the emerg
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Chapter.I Semant cs for the Semant
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Semant cs for the Semant c Web and
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Entity Identification/Disambiguatio
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Question Answering Systems Semant c
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The Human Semant c Web tion between
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The Human Semant c Web Figure 2. Th
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• Databases with entry-portals
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Query ng the Web Recons dered allow
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Web Serv ce Messages 0 Brujin, J.,
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About.the.Authors About the Authors
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About the Authors 0 Veli. Bicer. is
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About the Authors 0 in refereed jou
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About the Authors 0 partment (1992)
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About the Authors Anton.Naumenko.is
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About the Authors Centre and head o
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consumer-centric business model 30
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semantic e-business 214 semantic in
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