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

Recommendations

Info

consumer-centric business model 30 context description framework 69 control numbers 234, 237, 250 Conzilla 22, 36, 49 Conzilla2 36 D database theory 198 data protection 248 data replication 62 data synchronization 62 description logic (DL) 1, 10, 103, 125, 130, 162, 219 design principles 193 DILIGENT 112 display 133 doctor-centric health care 30 DOLCE 105 E e-administration 36 e-business 214, 224, 228 e-chain 223 e-commerce 23, 36, 222 e-government 227 e-learning 36 e-mail 73, 127 e-marketplace 226 E-MELD project 144 Eclipse 131 editing tool 124 Edutella 27 EHR functional model 264 ELAN 142 electronic data interchange 222, 285 electronic health care records 234- 236, 280 encryption 239, 243 enterprise application integration 63 enterprise resource planning (ERP) 90, 222 entity relationship diagram 79 ethical e-commerce 49 Euzenat 164 explicit mapping 76 Index extensible markup language (XML) 63, 75, 85, 129, 145, 218, 285 extracting 62 Copyright © 2007, Idea Group Inc. Copying or distributing in print or electronic forms without written permission of Idea Group Inc. is prohibited. F family history 254 family history exchange model 257 first-order logics 3 forward chaining 201 G general adaptation framework 61, 70, 89 genetic testing 255 genotype model 257, 262 global understanding environment 64 GOLD 142, 148, 156 government-centric democracy 30 Greenpeace 50 H healthcare 227, 280 heterogeneous data 1 Hewlett-Packard 229 hierarchical message description 261 human Semantic Web 22, 29, 36, 52 hypertextual navigation 126, 137 I imports 133 industrial resources 61, 65, 93 information age 23 information extraction 2 information retrieval 2 information systems 10, 99, 214, 228, 235, 280 integration 62 intelligent agent 214, 221, 230 intelligent software agent 217 interaction 101 Internet 23, 73, 126, 222, 285 interoperability 61 J Java theorem prover (JTP) 297
K Index knowledge 2, 15, 22, 24, 40, 46, 62, 100, 114, 125, 171, 192, 216 knowledge cartographer 29 knowledge coach 29 knowledge composer 29 knowledge distribution 243 knowledge exchange 100 knowledge interchange format (KIF) 292 knowledge librarian 29 knowledge management 23, 98, 216, 221 knowledge manifold 27 knowledge mentor 29 knowledge plumber 29 knowledge preacher 29 knowledge pull 22, 24, 52 knowledge push 22, 24, 30 knowledge representation 2, 217 L language 33, 104, 124, 141, 145, 162 language engineering 140 language profile 152 layered model 161 learner-centric education 30 linguistic multimedia data 140, 158 Lisp language 168 M machine learning 65 magnetic resonance imaging (MRI) 235 maintenance agent 65 memory 197 message exchange 244 metadata 25, 30, 50, 69, 136, 191, 220 Methontology 107 multilingual domain ontology 111 multimedia annotator 140, 148 N National Health Service 260 natural language interface generator 114 natural language processing 100 navigation 14, 236, 133, 145 negotiation 101 Negozilla 50 networking 68 Copyright © 2007, Idea Group Inc. Copying or distributing in print or electronic forms without written permission of Idea Group Inc. is prohibited. O On-To-Knowledge project 106 OntoELAN 141, 145, 155 ontology 162 ontology creation 98 ontology language 124 ontology mapping 291 ontology translation 161, 163 OntoMorph 184 openEHR 288 OWL 124, 145, 166, 191 P patient-centric health care 30 patient consent 248 patient identification 234 pattern queries 196 personalized learning 24 pragmatics 164 producer-centric model 30 project management 108 Protégé 103, 143 Protégé-2000 166 public key infrastructure 249 Q query language 190 R record linkage server 244 recursion 202 replication 62 RossettaNet 219 S search engine 195 self diagnostics 62 self monitoring 61 semantic annotation 234 semantic coexistence 27 semantic collaboration 27, 41
Page 2 and 3:
Semantic Web-Based Information Syst
Page 4 and 5:
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
Page 54 and 55:
The Human Semant c Web Figure 12. T
Page 56 and 57:
The Human Semant c Web Figure 14. S
Page 58 and 59:
Figure 16. The present structure of
Page 60 and 61:
The Human Semant c Web entire healt
Page 62 and 63:
The Human Semant c Web If your answ
Page 64 and 65:
The Human Semant c Web In the Knowl
Page 66 and 67:
The Human Semant c Web ing Environm
Page 68 and 69:
The Human Semant c Web Takeuchi, H.
Page 70 and 71:
26 Between February 2001 and Februa
Page 72 and 73:
Chapter.III General Adaptat on Fram
Page 74 and 75:
General Adaptat on Framework • Da
Page 76 and 77:
General Adaptat on Framework Proact
Page 78 and 79:
General Adaptat on Framework semant
Page 80 and 81:
General Adaptat on Framework Figure
Page 82 and 83:
Figure 4. General Adaptation Framew
Page 84 and 85:
General Adaptat on Framework Figure
Page 86 and 87:
General Adaptation Framework 75 thr
Page 88 and 89:
Pilot.Implementation.of.Semantic.Ad
Page 90 and 91:
General Adaptat on Framework The do
Page 92 and 93:
Figure 11. Use case scenario of the
Page 94 and 95:
General Adaptat on Framework and co
Page 96 and 97:
Figure 15. Template-based transform
Page 98 and 99:
Conclusion General Adaptat on Frame
Page 100 and 101:
General Adaptat on Framework • De
Page 102 and 103:
General Adaptat on Framework Statis
Page 104 and 105:
General Adaptat on Framework As men
Page 106 and 107:
General Adaptat on Framework METEOR
Page 108 and 109:
General Adaptat on Framework 8 Java
Page 110 and 111:
Ontology Creat on Methodolog es obt
Page 112 and 113:
Ontology Creat on Methodolog es 0 .
Page 114 and 115:
Ontology Creat on Methodolog es 0 I
Page 116 and 117:
Ontology Creat on Methodolog es 0 s
Page 118 and 119:
Table 1. Ontology development 101 m
Page 120 and 121:
Table 2. OTK methodology Ontology C
Page 122 and 123:
Ontology Creat on Methodolog es A.C
Page 124 and 125:
Table 5. TOVE methodology Ontology
Page 126 and 127:
Table 6. DILIGENT methodology Ontol
Page 128 and 129:
Ontology Creat on Methodolog es Nor
Page 130 and 131:
Ontology Creat on Methodolog es dir
Page 132 and 133:
Ontology Creat on Methodolog es Isu
Page 134 and 135:
Section III Ontology Creat on Metho
Page 136 and 137:
A Tool for Work ng w th Web Ontolog
Page 138 and 139:
Page 140 and 141:
Page 142 and 143:
Page 144 and 145:
Page 146 and 147:
Page 148 and 149:
Page 150 and 151:
Page 152 and 153:
Semant c Web of Language Eng neer n
Page 154 and 155:
Page 156 and 157:
OntoELAN implements the following a
Page 158 and 159:
Page 160 and 161:
Page 162 and 163:
Page 164 and 165:
Page 166 and 167:
Figure 5. A snapshot of creating a
Page 168 and 169:
Figure 7. A snapshot of the tier hi
Page 170 and 171:
Page 172 and 173:
Chapter.VII Bu ld ng Ontology Trans
Page 174 and 175:
Bu ld ng Ontology Translat on Syste
Page 176 and 177:
Page 178 and 179:
Table 1. Examples of transformation
Page 180 and 181:
Page 182 and 183:
Page 184 and 185:
Page 186 and 187:
Page 188 and 189:
Page 190 and 191:
Page 192 and 193:
Page 194 and 195:
Page 196 and 197:
Page 198 and 199:
Page 200 and 201:
6 http://km.aifb.uni-karlsruhe.de/w
Page 202 and 203:
Query ng the Web Recons dered allow
Page 204 and 205:
Query ng the Web Recons dered rathe
Page 206 and 207:
Query ng the Web Recons dered Three
Page 208 and 209:
Query ng the Web Recons dered retri
Page 210 and 211:
Answers:.Arbitrary.XML,.Ranked Answ
Page 212 and 213:
ib {{ book {{ title { “Data on th
Page 214 and 215:
Specific Reasoning as Theories Quer
Page 216 and 217:
Versatility Query ng the Web Recons
Page 218 and 219:
Query ng the Web Recons dered 0 (Se
Page 220 and 221:
Query ng the Web Recons dered 0 sen
Page 222 and 223:
Query ng the Web Recons dered Furch
Page 224 and 225:
Section IV Applications Query ng th
Page 226 and 227:
Semant c E-Bus ness to be beneficia
Page 228 and 229:
Semant c E-Bus ness The following s
Page 230 and 231:
Semant c E-Bus ness standardized re
Page 232 and 233:
Intelligent Agents Semant c E-Bus n
Page 234 and 235:
Semant c E-Bus ness other form of e
Page 236 and 237:
Semant c E-Bus ness Figure 3. Seman
Page 238 and 239:
Semant c E-Bus ness upon the transp
Page 240 and 241:
Semant c E-Bus ness use of agent-ba
Page 242 and 243:
Semant c E-Bus ness similation of e
Page 244 and 245:
Semant c E-Bus ness Papazoglou, M.
Page 246 and 247:
Distributed Patient Identification
Page 248 and 249:
Page 250 and 251:
Page 252 and 253:
Page 254 and 255:
Page 256 and 257:
Page 258 and 259:
Page 260 and 261:
Page 262 and 263:
Page 264 and 265:
Page 266 and 267:
HL7 Clinical Genomics Standard Spec
Page 268 and 269:
Page 270 and 271:
Table 2. continued HL7 Clinical Gen
Page 272 and 273:
Page 274 and 275:
Page 276 and 277: HL7 Clinical Genomics Standard Spec
Page 290 and 291: Chapter.XII Web Serv ce Messages Ar
Page 292 and 293: Web Serv ce Messages amination, or
Page 294 and 295: Web Serv ce Messages It is also pos
Page 296 and 297: Web Serv ce Messages The full shara
Page 298 and 299: Web Serv ce Messages standards. For
Page 300 and 301: Web Serv ce Messages Figure 3. An e
Page 302 and 303: Web Serv ce Messages Figure 4 depic
Page 304 and 305: Web Serv ce Messages are stated as
Page 306 and 307: Figure 6. An example SimilarTo patt
Page 308 and 309: Figure 9. The state_structure class
Page 310 and 311: Figure 12. Target instance 8351-9
Page 312 and 313: Web Serv ce Messages 0 Brujin, J.,
Page 314 and 315: About.the.Authors About the Authors
Page 316 and 317: About the Authors 0 Veli. Bicer. is
Page 318 and 319: About the Authors 0 in refereed jou
Page 320 and 321: About the Authors 0 partment (1992)
Page 322 and 323: About the Authors Anton.Naumenko.is
Page 324 and 325: About the Authors Centre and head o
Page 328 and 329: semantic e-business 214 semantic in
show all

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

You also want an ePaper? Increase the reach of your titles

Delete template?

Save as template?