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

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The Human Semant c Web Figure 12. The top windows show the semantic models of framework 1 (left) and framework 2 (right). The bottom window shows three Conzilla comparators. Highlighting the Agent/Party comparator shows the corresponding parts of the two models. the alignment methodology of the semantic models, since it makes use of the bottom-up conceptual calibration technique described previously. Figure 12 shows the Conzilla approach to the alignment of the two semantic models in a highly simplified artificial example. The left and right top windows of Figure 12 show UML diagrams of the two semantic models, and the bottom window shows three Conzilla comparators, called Agent/Party, Message/Document, and BusinessProcess/Conversation. Each comparator connects the corresponding concepts of the two models in such a way that, when the comparator is highlighted, so are the corresponding concepts. In Figure 12, the comparator Agent/Party has been highlighted, showing that Agent, ServiceEntity, and BusinessEntity in framework 1 correspond to Party, User, and Role in framework 2. Moreover, each comparator is linked to a semantic comparison window, where the similarities and differences of the corresponding parts of the two models are described. For example, double-clicking the Agent/Party comparator (Figure 13) opens the corresponding semantic comparison window (bottom left), where the similarities and the differences between the Agent/Party sections of the two models are described. The dotted lines show that Agent corresponds to Party, while Ser- Copyright © 2007, Idea Group Inc. Copying or distributing in print or electronic forms without written permission of Idea Group Inc. is prohibited.
Naeve Figure 13. Double clicking the Agent/Party comparator opens the semantic comparison window (bottom left), where the similarities and the differences between the Agent/Party sections of the two models are described. viceEntity and BusinessEntity correspond to Role. Highlighting a concept in any window (e.g., Agent, as in Figure 13) will highlight it and its corresponding concepts (in this case, Party) in all windows where these concepts appear. As shown in Figure 14, in the semantic comparison window, the similarities are represented as metadata on the dotted line between the corresponding concepts, while the differences are represented as metadata on the “unique” labels. Knowledge. Creation.on.the................. Human. Semantic.Web The.SECI.Spiral.of.Knowledge.Creation In their award-winning 1995 book, The Knowledge Creating Company, Nonaka and Takeuchi introduce their theory of organizational knowledge creation. According 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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General Adaptat on Framework As men
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General Adaptat on Framework METEOR
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General Adaptat on Framework 8 Java
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Ontology Creat on Methodolog es obt
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Ontology Creat on Methodolog es 0 I
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Table 1. Ontology development 101 m
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Ontology Creat on Methodolog es A.C
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Table 5. TOVE methodology Ontology
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Table 6. DILIGENT methodology Ontol
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Ontology Creat on Methodolog es Nor
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Ontology Creat on Methodolog es dir
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Section III Ontology Creat on Metho
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A Tool for Work ng w th Web Ontolog
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Semant c Web of Language Eng neer n
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OntoELAN implements the following a
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Figure 5. A snapshot of creating a
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Figure 7. A snapshot of the tier hi
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Chapter.VII Bu ld ng Ontology Trans
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Bu ld ng Ontology Translat on Syste
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Table 1. Examples of transformation
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Query ng the Web Recons dered allow
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Query ng the Web Recons dered rathe
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Query ng the Web Recons dered Three
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Query ng the Web Recons dered retri
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Answers:.Arbitrary.XML,.Ranked Answ
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ib {{ book {{ title { “Data on th
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Specific Reasoning as Theories Quer
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Versatility Query ng the Web Recons
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Query ng the Web Recons dered 0 (Se
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Query ng the Web Recons dered 0 sen
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Query ng the Web Recons dered Furch
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Section IV Applications Query ng th
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Semant c E-Bus ness to be beneficia
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Semant c E-Bus ness The following s
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Semant c E-Bus ness standardized re
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Intelligent Agents Semant c E-Bus n
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Semant c E-Bus ness other form of e
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Semant c E-Bus ness upon the transp
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Semant c E-Bus ness use of agent-ba
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Semant c E-Bus ness similation of e
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Semant c E-Bus ness Papazoglou, M.
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Distributed Patient Identification
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Chapter.XII Web Serv ce Messages Ar
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Web Serv ce Messages amination, or
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Web Serv ce Messages It is also pos
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Web Serv ce Messages The full shara
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Web Serv ce Messages standards. For
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Web Serv ce Messages Figure 3. An e
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Web Serv ce Messages Figure 4 depic
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Web Serv ce Messages are stated as
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Figure 6. An example SimilarTo patt
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Figure 9. The state_structure class
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Figure 12. Target instance 8351-9
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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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