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

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6 http://km.aifb.uni-karlsruhe.de/ws/eon2003/ 7 http://transmorpher.inrialpes.fr/ Bu ld ng Ontology Translat on Systems 8 Description Logic Markup Language. http://co4.inrialpes.fr/xml/dlml/ The chapter was previously published in the International Journal on Semantic Web & Information Systems, 1(2), 22-48, April-June 2005. Copyright © 2007, Idea Group Inc. Copying or distributing in print or electronic forms without written permission of Idea Group Inc. is prohibited.
0 Bry, Koch, Furche, Schaffert, Badea, & Berger Chapter.VIII Querying.the. Web.Reconsidered: Design.Principles.for.Versatile. Web.Query.Languages Franço s Bry, Un vers ty of Mun ch, Germany Chr stoph Koch, V enna Un vers ty of Technology, Austr a T m Furche, Un vers ty of Mun ch, Germany Sebast an Schaffert, Un vers ty of Mun ch, Germany L v u Badea, Nat. Inst. for Research & Development Informat cs, Bucharest, Roman a Sacha Berger, Un vers ty of Mun ch, Germany Abstract A decade of experience with research proposals as well as standardized query languages for the conventional Web and the recent emergence of query languages for the Semantic Web call for a reconsideration of design principles for Web and Semantic Web query languages. This chapter first argues that a new generation of versatile Web query languages is needed for solving the challenges posed by the changing Web: We call versatile those query languages able to cope with both Web and Semantic Web data expressed in any (Web or Semantic Web) markup language. This chapter further suggests that well-known referential transparency and novel answer-closedness are essential features of versatile query languages. Indeed, they 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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Semant cs for the Semant c Web •
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Semant cs for the Semant c Web reas
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Semant cs for the Semant c Web simi
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Semant cs for the Semant c Web in t
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Entity Identification/Disambiguatio
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Question Answering Systems Semant c
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Semant cs for the Semant c Web The
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Semant cs for the Semant c Web Dubo
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Semant cs for the Semant c Web Shet
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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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The Human Semant c Web • Knowledg
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Conceptual.Modeling The Human Seman
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The Human Semant c Web in relations
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The Human Semant c Web along the di
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The Human Semant c Web Figure 7. Th
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The Human Semant c Web Figure 10. T
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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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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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