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Semantic Web-Based Information Systems: State-of-the-Art Applications Table of Contents Preface.............................................................................................................. vi Section.I:.Vision Chapter.I Semantics.for.the.Semantic.Web:. The.Implicit,.the.Formal,.and.the.Powerful................................................... 1 Amit Sheth, University of Georgia, USA Cartic Ramakrishnan, University of Georgia, USA Christopher Thomas, University of Georgia, USA Chapter.II The.Human.Semantic.Web:. Shifting.from.Knowledge.Push.to.Knowledge.Pull..................................... 22 Ambjörn Naeve, The Knowledge Management Research Group, Royal Institute of Technology, Sweden
v Section.II:.Frameworks.and.Methodologies Chapter.III General.Adaptation.Framework:. Enabling.Interoperability.for.Industrial.Web.Resources........................... 61 Olena Kaykova, University of Jyväskylä, Finland Oleksiy Khriyenko, University of Jyväskylä, Finland Dmytro Kovtun, University of Jyväskylä, Finland Anston Naumenko, University of Jyväskylä, Finland Vagan Terziyan, University of Jyväskylä, Finland Andriy Zharko, University of Jyväskylä, Finland Chapter.IV A.Survey.on.Ontology.Creation.Methodologies........................................... 98 Matteo Cristani, Università di Verona, Italy Roberta Cuel, Università di Verona, Italy Section.III:.Techniques.and.Tools Chapter.V A.Tool.for.Working.with.Web.Ontologies................................................... 124 Aditya Kalyanpur, University of Maryland, USA Bijan Parsia, University of Maryland, USA James Hendler, University of Maryland, USA Chapter.VI An.Ontology-Based.Multimedia.Annotator.for.the.Semantic.Web.of. Language.Engineering................................................................................. 140 Artem Chebotko, Wayne State University, USA Yu Deng, Wayne State University, USA Shiyong Lu, Wayne State University, USA Farshad Fotouhi, Wayne State University, USA Anthony Aristar, Wayne State University, USA Chapter.VII A.Layered.Model.for.Building.Ontology.Translation.Systems................ 161 Oscar Corcho, Intelligent Software Components, Spain Asunción Gómez-Pérez, Universidad de Madrid, Spain
Page 2 and 3: Semantic Web-Based Information Syst
Page 6 and 7: Chapter.VIII Querying.the.Web.Recon
Page 8 and 9: the semantics in the Semantic Web.
Page 10 and 11: the conventional Web, and the emerg
Page 12 and 13: Chapter.I Semant cs for the Semant
Page 14 and 15: Semant cs for the Semant c Web and
Page 16 and 17: Semant cs for the Semant c Web •
Page 18 and 19: Semant cs for the Semant c Web reas
Page 20 and 21: Semant cs for the Semant c Web simi
Page 22 and 23: Semant cs for the Semant c Web in t
Page 24 and 25: Entity Identification/Disambiguatio
Page 26 and 27: Question Answering Systems Semant c
Page 28 and 29: Semant cs for the Semant c Web The
Page 30 and 31: Semant cs for the Semant c Web Dubo
Page 32 and 33: Semant cs for the Semant c Web Shet
Page 34 and 35: The Human Semant c Web tion between
Page 36 and 37: The Human Semant c Web Figure 2. Th
Page 38 and 39: • Databases with entry-portals
Page 40 and 41: The Human Semant c Web • Knowledg
Page 42 and 43: Conceptual.Modeling The Human Seman
Page 44 and 45: The Human Semant c Web in relations
Page 46 and 47: The Human Semant c Web along the di
Page 48 and 49: The Human Semant c Web Figure 7. Th
Page 50 and 51: The Human Semant c Web Figure 10. T
Page 52 and 53: Conceptual.Calibration The Human Se
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The Human Semant c Web Figure 12. T
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The Human Semant c Web Figure 14. S
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Figure 16. The present structure of
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The Human Semant c Web entire healt
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The Human Semant c Web If your answ
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The Human Semant c Web In the Knowl
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The Human Semant c Web ing Environm
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The Human Semant c Web Takeuchi, H.
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26 Between February 2001 and Februa
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Chapter.III General Adaptat on Fram
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General Adaptat on Framework • Da
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General Adaptat on Framework Proact
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General Adaptat on Framework semant
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General Adaptat on Framework Figure
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Figure 4. General Adaptation Framew
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General Adaptat on Framework Figure
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General Adaptation Framework 75 thr
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Pilot.Implementation.of.Semantic.Ad
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General Adaptat on Framework The do
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Figure 11. Use case scenario of the
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General Adaptat on Framework and co
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Figure 15. Template-based transform
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Conclusion General Adaptat on Frame
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General Adaptat on Framework • De
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General Adaptat on Framework Statis
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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 .
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Ontology Creat on Methodolog es 0 I
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Ontology Creat on Methodolog es 0 s
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Table 1. Ontology development 101 m
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Table 2. OTK methodology Ontology C
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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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Ontology Creat on Methodolog es Isu
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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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6 http://km.aifb.uni-karlsruhe.de/w
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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 Figure 3. Seman
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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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HL7 Clinical Genomics Standard Spec
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Table 2. continued HL7 Clinical Gen
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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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