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

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The Human Semant c Web ing Environment Conference (WBLE 2001), Lund, Sweden (pp. 151-161). Retrieved from http://kmr.nada.kth.se/papers/ConceptualBrowsing/Concept- Browser.pdf Naeve, A. (2001b, October 24-26). The knowledge manifold: An educational architecture that supports inquiry-based customizable forms of e-learning. In Proceedings of the Second European Web-Based Learning Environment Conference (WBLE 2001), Lund, Sweden (pp. 200-212). Retrieved from http://kmr. nada.kth.se/papers/ConceptualBrowsing/ConceptBrowser.pdf Naeve, A., Nilsson, M., & Palmér, M. (2001, July). The conceptual Web: Our research vision. In Proceedings of the First Semantic Web Working Symposium, Stanford, CA. Retrieved from http://www.semanticweb.org/SWWS/program/ position/soi-nilsson.pdf Naeve, A. et al. (2002, November). En publik e-lärandeplattform byggd på kunskapsmångfalder, öppen källkod och öppna IT-standarder (A public e-learning platform based on knowledge manifolds, open source and open, international ICT standards). Report to the Swedish Netuniversity. Retrieved from http:// kmr.nada.kth.se/papers/SemanticWeb/Natuniv-KMR.pdf Naeve, A., Nilsson, M., Palmér, M., & Paulsson, F. (2005). Contributions to a public e-learning platform: Infrastructure, architecture, frameworks and tools. International Journal of Learning Technology, 1(3), 352-381. Nejdl, W. et al. (2001). PADLR (Personalized Access to Distributed Learning Repositories). Proposal to WGLN. Retrieved from www.learninglab.de/pdf/ L3S_padlr_17.pdf Nejdl, W. et al. (2002, May 7-11). Edutella: A P2P networking infrastructure based on RDF. In Proceedings of the 11 th World Wide Web Conference (WWW 2002), HI. Retrieved from http://kmr.nada.kth.se/papers/SemanticWeb/p597-nejdl.pdf Nilsson, M., Naeve, A., & Palmér, M. (2004). The Edutella P2P network: Supporting democratic e-learning and communities of practice. In R. McGreal (Ed.), Online education using learning objects. New York: Routledge-Falmer. Nilsson, M., Palmér, M., & Naeve, A. (2002, May 7-11). Semantic Web metadata for e-learning: Some architectural guidelines. In Proceedings of the 11 th World Wide Web Conference, HI. Retrieved from http://kmr.nada.kth.se/papers/SemanticWeb/p744-nilsson.pdf Nonaka, I. & Takeuchi, H. (1995). The knowledge-creating company: How Japanese companies create the dynamics of innovation. New York: Oxford University Press. Norris, D., Mason, J., & Lefrere, P. (2003). Transforming e-knowledge. Ann Arbor, MI: Society for College and University Planning. Novak, J. D. (n.d.). The theory underlying concept maps and how to construct them. Retrieved from http://cmap.coginst.uwf.edu/info/ Copyright © 2007, Idea Group Inc. Copying or distributing in print or electronic forms without written permission of Idea Group Inc. is prohibited.
Naeve Odell & Martin. (1998). Object-oriented methods: A foundation. Prentice Hall. OWL (Web Ontology Language). (n.d.). Retrieved from http://www.w3.org/TR/ owl-features Palmér, M., & Naeve, A. (2005, July 18-22). Conzilla: A conceptual interface to the semantic Web. In Proceedings of the 13 th International Conference on Conceptual Structures (ICCS 2005), Kassel. Springer. Palmér, M., Naeve, A., & Paulsson, F. (2004, May). The SCAM-framework: Helping applications to store and access metadata on the semantic Web. In Proceedings of the First European Semantic Web Symposium, Heraklion, Greece. Retrieved from http://kmr.nada.kth.se/papers/SemanticWeb/SCAM-ESWS.pdf Paquet, S. (n.d.). Personal knowledge publishing and its uses in research. Retrieved from http://radio.weblogs.com/0110772/stories/2002/10/03/personalKnowledgePublishingAndIts UsesInResearch.html Pettersson, D. (2000). Aspect filtering as a tool to support conceptual exploration and presentation. CID/NADA/KTH. Retrieved from http://kmr.nada.kth. se/papers/ConceptualBrowsing/AspectFiltering-exjobb.pdf Poincaré, H. (1905, 1952). Science and hypothesis. New York: Dover Publishing. Powell, A., Nilsson, M., Naeve, A., & Johnston, P. (2004). DCMI: Abstract model (working draft). Retrieved from http://dublincore.org/documents/abstractmodel Prolearn. (n.d.). Retrieved from http://www.prolearn-project.org RDF (Resource Description Framework). (n.d.). Retrieved from http://www. w3.org/RDF RDFS (RDF-Schema). (n.d.). Retrieved from http://www.w3.org/TR/rdf-schema RosettaNet. (n.d.). Retrieved from http://www.rosettanet.org Rumbaugh, J., Jacobsson, I., & Booch, G. (1999). The unified modeling language reference mannual. Addison Wesley Longman. Sakai. (n.d.). Retrieved from http://www.sakaiproject.org SCAM. (n.d.). Retrieved from http://scam.sourceforge.net Seb's Open Research. (n.d.). Retrieved from http://radio.weblogs.com/0110772 Semantic Web Initiative. (n.d.) Retrieved from http://www.SemanticWeb.org SHAME. (n.d.). Retrieved from http://kmr.nada.kth.se/shame SIGSEMIS. (n.d.). Retrieved from http://www.sigsemis.org Smith, J. W. T. (1999, April). The deconstructed journal: A new model for academic publishing. Learned Publishing, 12(2). Retrieved from http://library.kent. ac.uk/library/papers/jwts/d-journal.htm 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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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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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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