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

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About the Authors Centre and head of “Industrial Ontologies Group.” He has more than 100 scientific publications, more than half of them in internationally recognised magazines and conferences. Wilfried.Thoben.is the director of the Healthcare Information and Communication Systems R & D division at the OFFIS research institute in Oldenburg, Germany. He is a graduate of Friedrich-Alexander-University Erlangen-Nürnberg where he received his MS in computer science in 1993. Dr. Thoben received his PhD in computer science from the Carl von Ossietzky University of Oldenburg, Germany in 1999. His research topics include security of workflow based applications and epidemiological cancer registration. Since 2001 he is also CEO of the OFFIS CARE GmbH, a spinoff of OFFIS that is responsible for the cancer registry Lower-Saxony. Christopher.Thomas.is a PhD student in the LSDIS lab, University of Georgia, USA. His academic background is computer science and artificial intelligence. His main research focus is semantics, knowledge representation and reasoning. Recently he has been working in the field of computational biochemistry to develop ontologies and reasoning mechanisms suitable for the complex carbohydrate domain. His research in representation of uncertain, incomplete and partially inconsistent knowledge is geared towards developing formalism that can be applied beyond the life sciences domain in all Semantic Web areas. Andriy.Zharko.graduated from the Kharkov National University of Radielectronics in June 2003 with a Diploma of Engineer in intelligent decision support systems. In December 2003 he successfully finished the Master’s program at the University of Jyvaskyla, Finland, Department of Mathematical Information Technology, where he obtained a degree of Master of Science in mobile computing study line with the highest grade. Additionally, he obtained Excellent Master’s Thesis Award in 2004. He has also been a member of the “Industrial Ontologies Group” research group since January 2003 and a researcher at the Agora Research Center, University of Jyväskylä, Finland. In the beginning of 2004, he started his postgraduate studies with the MIT Department with a topic “Active Resources in Semantic Web.” His research is concerned with peer-to-peer Semantic Web based large-scale systems combined with agent-oriented analysis. The main research activities are carried out within the SmartResource Tekes project. Copyright © 2007, Idea Group Inc. Copying or distributing in print or electronic forms without written permission of Idea Group Inc. is prohibited.
A Index acquired knowledge 118 annotation 144 annotation tier 154 answer-closed 200 application programming interface 71 archetype definition language (ADL) 282 ARTEMIS project 235, 250, 284, 299 artificial intelligence 2, 98, 100 Association for Information Systems 228 B backward chaining 201 blocking variables 239 bookmark 127 browser 22, 35, 73, 126, 310 browsing tool 124 bureaucrat-centric administration 30 Index business-to-business (B2B) 63, 222 business object ontology 114 Copyright © 2007, Idea Group Inc. Copying or distributing in print or electronic forms without written permission of Idea Group Inc. is prohibited. C chaining 201 citizen-centric administration 30 citizen-centric democracy 30 class 98 clinical statement model 263 cognitive engineering 105 communication 23, 66, 89, 101, 223, 235, 244 computational linguistics 2 computer science 103 concept-in-context methodology 39 concept browser 28 conceptual calibration 41 conceptual modeling 27, 31 conceptual Web 29
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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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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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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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General Adaptat on Framework Proact
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General Adaptat on Framework semant
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Figure 4. General Adaptation Framew
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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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Conclusion General Adaptat on Frame
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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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Table 5. TOVE methodology Ontology
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Ontology Creat on Methodolog es Nor
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A Tool for Work ng w th Web Ontolog
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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 Three
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Query ng the Web Recons dered retri
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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 Furch
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Distributed Patient Identification
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