A developer's guide to the semantic web:
Gespeichert in:
| 1. Verfasser: | |
|---|---|
| Format: | Buch |
| Sprache: | English |
| Veröffentlicht: |
Berlin [u.a.]
Springer
2011
|
| Schlagworte: | |
| Online-Zugang: | Inhaltstext Inhaltsverzeichnis |
| Beschreibung: | Literaturangaben |
| Beschreibung: | XIX, 608 S. Ill., graph. Darst. 24 cm |
| ISBN: | 3642159699 9783642159695 9783642159701 |
Internformat
MARC
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| 020 | |a 9783642159695 |c Pp. : EUR 74.85 (DE) (freier Pr.), sfr 100.50 (freier Pr.) |9 978-3-642-15969-5 | ||
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| 100 | 1 | |a Yu, Liyang |e Verfasser |0 (DE-588)139018441 |4 aut | |
| 245 | 1 | 0 | |a A developer's guide to the semantic web |c Liyang Yu |
| 264 | 1 | |a Berlin [u.a.] |b Springer |c 2011 | |
| 300 | |a XIX, 608 S. |b Ill., graph. Darst. |c 24 cm | ||
| 336 | |b txt |2 rdacontent | ||
| 337 | |b n |2 rdamedia | ||
| 338 | |b nc |2 rdacarrier | ||
| 500 | |a Literaturangaben | ||
| 650 | 0 | 7 | |a Ontologie |g Wissensverarbeitung |0 (DE-588)4827894-4 |2 gnd |9 rswk-swf |
| 650 | 0 | 7 | |a Wiki |0 (DE-588)4806885-8 |2 gnd |9 rswk-swf |
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| 650 | 0 | 7 | |a RDF |g Informatik |0 (DE-588)4737512-7 |2 gnd |9 rswk-swf |
| 650 | 0 | 7 | |a Semantic Web |0 (DE-588)4688372-1 |2 gnd |9 rswk-swf |
| 650 | 0 | 7 | |a SPARQL |0 (DE-588)7693644-2 |2 gnd |9 rswk-swf |
| 689 | 0 | 0 | |a Semantic Web |0 (DE-588)4688372-1 |D s |
| 689 | 0 | 1 | |a Ontologie |g Wissensverarbeitung |0 (DE-588)4827894-4 |D s |
| 689 | 0 | 2 | |a RDF |g Informatik |0 (DE-588)4737512-7 |D s |
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| 689 | 0 | 5 | |a Wiki |0 (DE-588)4806885-8 |D s |
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| 776 | 0 | 8 | |i Erscheint auch als |n Online-Ausgabe |o 10.1007/978-3-642-15970-1 |
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Datensatz im Suchindex
| _version_ | 1805096275438206976 |
|---|---|
| adam_text |
IMAGE 1
CONTENTS
1 A WEB OF DATA: TOWARD THE IDEA OF THE SEMANTIC WEB . . . . . . . 1
1.1 A MOTIVATING EXAMPLE: DATA INTEGRATION ON THE WEB . . . . . . 1
1.1.1 A SMART DATA INTEGRATION AGENT . . . . . . . . . . . . 2
1.1.2 IS SMART DATA INTEGRATION AGENT POSSIBLE? . . . . . . . 7
1.1.3 THE IDEA OF THE SEMANTIC WEB . . . . . . . . . . . . . 9
1.2 A MORE GENERAL GOAL: A WEB UNDERSTANDABLE TO MACHINES . . . 9 1.2.1
HOW DO WE USE THE WEB? . . . . . . . . . . . . . . . 9
1.2.2 WHAT STOPS US FROM DOING MORE? . . . . . . . . . . . 12
1.2.3 AGAIN, THE IDEA OF THE SEMANTIC WEB . . . . . . . . . . 14
1.3 THE SEMANTIC WEB: A FIRST LOOK . . . . . . . . . . . . . . . . 14
1.3.1 THE CONCEPT OF THE SEMANTIC WEB . . . . . . . . . . . 14
1.3.2 THE SEMANTIC WEB, LINKED DATA, AND THE WEB OF DATA . . . . . . . .
. . . . . . . . . . . . . . . . . . 15
1.3.3 SOME BASIC THINGS ABOUT THE SEMANTIC WEB . . . . . 17
REFERENCE . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .
. 18
2 THE BUILDING BLOCK FOR THE SEMANTIC WEB: RDF . . . . . . . . . . . 19
2.1 RDF OVERVIEW . . . . . . . . . . . . . . . . . . . . . . . . . . 19
2.1.1 RDF IN OFFICIAL LANGUAGE . . . . . . . . . . . . . . . . 19
2.1.2 RDF IN PLAIN ENGLISH . . . . . . . . . . . . . . . . . . 21
2.2 THE ABSTRACT MODEL OF RDF . . . . . . . . . . . . . . . . . . . 25
2.2.1 THE BIG PICTURE . . . . . . . . . . . . . . . . . . . . . 25
2.2.2 STATEMENT . . . . . . . . . . . . . . . . . . . . . . . . 25
2.2.3 RESOURCE AND ITS URI NAME . . . . . . . . . . . . . . 27
2.2.4 PREDICATE AND ITS URI NAME . . . . . . . . . . . . . . 31
2.2.5 RDF TRIPLES: KNOWLEDGE THAT MACHINE CAN USE . . . 33 2.2.6 RDF
LITERALS AND BLANK NODE . . . . . . . . . . . . . . 35
2.2.7 A SUMMARY SO FAR . . . . . . . . . . . . . . . . . . . 41
2.3 RDF SERIALIZATION: RDF/XML SYNTAX . . . . . . . . . . . . . . 42
2.3.1 THE BIG PICTURE: RDF VOCABULARY . . . . . . . . . . . 42
2.3.2 BASIC SYNTAX AND EXAMPLES . . . . . . . . . . . . . . . 43
2.3.3 OTHER RDF CAPABILITIES AND EXAMPLES . . . . . . . . . 59
XIII
IMAGE 2
XIV CONTENTS
2.4 OTHER RDF STERILIZATION FORMATS . . . . . . . . . . . . . . . . . 65
2.4.1 NOTATION-3, TURTLE, AND N-TRIPLES . . . . . . . . . . . . 65
2.4.2 TURTLE LANGUAGE . . . . . . . . . . . . . . . . . . . . . 66
2.5 FUNDAMENTAL RULES OF RDF . . . . . . . . . . . . . . . . . . . 72
2.5.1 INFORMATION UNDERSTANDABLE BY MACHINE . . . . . . . . 73
2.5.2 DISTRIBUTED INFORMATION AGGREGATION . . . . . . . . . . 75
2.5.3 A HYPOTHETICAL REAL-WORLD EXAMPLE . . . . . . . . . . 76
2.6 MORE ABOUT RDF . . . . . . . . . . . . . . . . . . . . . . . . . 79
2.6.1 DUBLIN CORE: EXAMPLE OF PRE-DEFINED RDF VOCABULARY 79 2.6.2 XML
VS. RDF? . . . . . . . . . . . . . . . . . . . . . 81
2.6.3 USE AN RDF VALIDATOR . . . . . . . . . . . . . . . . . . 84
2.7 SUMMARY . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 85
3 OTHER RDF-RELATED TECHNOLOGIES: MICROFORMATS, RDFA, AND GRDDL . . . .
. . . . . . . . . . . . . . . . . . . . . . . . . . . 87
3.1 INTRODUCTION: WHY DO WE NEED THESE? . . . . . . . . . . . . . 87
3.2 MICROFORMATS . . . . . . . . . . . . . . . . . . . . . . . . . . .
88
3.2.1 MICROFORMATS: THE BIG PICTURE . . . . . . . . . . . . . 88
3.2.2 MICROFORMATS: SYNTAX AND EXAMPLES . . . . . . . . . . 89
3.2.3 MICROFORMATS AND RDF . . . . . . . . . . . . . . . . . 94
3.3 RDFA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .
95
3.3.1 RDFA: THE BIG PICTURE . . . . . . . . . . . . . . . . . 95
3.3.2 RDFA ATTRIBUTES AND RDFA ELEMENTS . . . . . . . . . . 96
3.3.3 RDFA: RULES AND EXAMPLES . . . . . . . . . . . . . . . 97
3.3.4 RDFA AND RDF . . . . . . . . . . . . . . . . . . . . . 104
3.4 GRDDL . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .
105
3.4.1 GRDDL: THE BIG PICTURE . . . . . . . . . . . . . . . . 105
3.4.2 USING GRDDL WITH MICROFORMATS . . . . . . . . . . . 105
3.4.3 USING GRDDL WITH RDFA . . . . . . . . . . . . . . . 107
3.5 SUMMARY . . . . . . . . . . . . . . . . . . . . . . . . . . . . .
107
4 RDFS AND ONTOLOGY . . . . . . . . . . . . . . . . . . . . . . . . . .
109
4.1 RDFS OVERVIEW . . . . . . . . . . . . . . . . . . . . . . . . . 109
4.1.1 RDFS IN PLAIN ENGLISH . . . . . . . . . . . . . . . . . 109
4.1.2 RDFS IN OFFICIAL LANGUAGE . . . . . . . . . . . . . . . 110
4.2 RDFS + RDF: ONE MORE STEP TOWARD MACHINE READABLE . . . 111 4.2.1 A
COMMON LANGUAGE TO SHARE . . . . . . . . . . . . . 111
4.2.2 MACHINE INFERENCING BASED ON RDFS . . . . . . . . . 113
4.3 RDFS CORE ELEMENTS . . . . . . . . . . . . . . . . . . . . . . . 114
4.3.1 THE BIG PICTURE: RDFS VOCABULARY . . . . . . . . . . . 114
4.3.2 BASIC SYNTAX AND EXAMPLES . . . . . . . . . . . . . . . 114
4.3.3 SUMMARY SO FAR . . . . . . . . . . . . . . . . . . . . 132
4.4 THE CONCEPT OF ONTOLOGY . . . . . . . . . . . . . . . . . . . . .
136
4.4.1 WHAT IS ONTOLOGY? . . . . . . . . . . . . . . . . . . . 137
4.4.2 THE BENEFITS OF ONTOLOGY . . . . . . . . . . . . . . . . 137
4.5 BUILDING THE BRIDGE TO ONTOLOGY: SKOS . . . . . . . . . . . . . 138
4.5.1 KNOWLEDGE ORGANIZATION SYSTEMS (KOS) . . . . . . . 138
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CONTENTS XV
4.5.2 THESAURI VS. ONTOLOGIES . . . . . . . . . . . . . . . . . 140
4.5.3 FILLING THE GAP: SKOS . . . . . . . . . . . . . . . . . 141
4.6 ANOTHER LOOK AT INFERENCING BASED ON RDF SCHEMA . . . . . . 149
4.6.1 RDFS ONTOLOGY-BASED REASONING: SIMPLE, YET POWERFUL . . . . . . .
. . . . . . . . . . . . . . . . 149
4.6.2 GOOD, BETTER, AND BEST: MORE IS NEEDED . . . . . . . . 151
4.7 SUMMARY . . . . . . . . . . . . . . . . . . . . . . . . . . . . .
152
5 OWL: WEB ONTOLOGY LANGUAGE . . . . . . . . . . . . . . . . . . . . 155
5.1 OWL OVERVIEW . . . . . . . . . . . . . . . . . . . . . . . . . . 155
5.1.1 OWL IN PLAIN ENGLISH . . . . . . . . . . . . . . . . . . 155
5.1.2 OWL IN OFFICIAL LANGUAGE: OWL 1 AND OWL 2 . . . . 156 5.1.3 FROM
OWL 1 TO OWL 2 . . . . . . . . . . . . . . . . . 158
5.2 OWL 1 AND OWL 2: THE BIG PICTURE . . . . . . . . . . . . . . 158
5.2.1 BASIC NOTIONS: AXIOM, ENTITY, EXPRESSION, AND IRI NAMES . . . . .
. . . . . . . . . . . . . . . . 159
5.2.2 BASIC SYNTAX FORMS: FUNCTIONAL STYLE, RDF/XML SYNTAX, MANCHESTER
SYNTAX, AND XML SYNTAX . . . . . . . . . . . . . . . . . . . . 160
5.3 OWL 1 WEB ONTOLOGY LANGUAGE . . . . . . . . . . . . . . . . 161
5.3.1 DEFINING CLASSES: THE BASICS . . . . . . . . . . . . . . 161
5.3.2 DEFINING CLASSES: LOCALIZING GLOBAL PROPERTIES . . . . 163 5.3.3
DEFINING CLASSES: USING SET OPERATORS . . . . . . . . . 172
5.3.4 DEFINING CLASSES: USING ENUMERATION, EQUIVALENT, AND DISJOINT . .
. . . . . . . . . . . . . . . 175
5.3.5 OUR CAMERA ONTOLOGY SO FAR . . . . . . . . . . . . . . 177
5.3.6 DEFINE PROPERTIES: THE BASICS . . . . . . . . . . . . . . 179
5.3.7 DEFINING PROPERTIES: PROPERTY CHARACTERISTICS . . . . . . 184
5.3.8 CAMERA ONTOLOGY WRITTEN USING OWL 1 . . . . . . . . 192
5.4 OWL 2 WEB ONTOLOGY LANGUAGE . . . . . . . . . . . . . . . . 196
5.4.1 WHAT IS NEW IN OWL 2? . . . . . . . . . . . . . . . . 196
5.4.2 NEW CONSTRUCTS FOR COMMON PATTERNS . . . . . . . . . 197
5.4.3 IMPROVED EXPRESSIVENESS FOR PROPERTIES . . . . . . . . 200
5.4.4 EXTENDED SUPPORT FOR DATATYPES . . . . . . . . . . . . 210
5.4.5 PUNNING AND ANNOTATIONS . . . . . . . . . . . . . . . . 214
5.4.6 OTHER OWL 2 FEATURES . . . . . . . . . . . . . . . . . 218
5.4.7 OWL CONSTRUCTS IN INSTANCE DOCUMENTS . . . . . . . . 222
5.4.8 OWL 2 PROF ILES . . . . . . . . . . . . . . . . . . . . . 226
5.4.9 OUR CAMERA ONTOLOGY IN OWL 2 . . . . . . . . . . . . 233
5.5 SUMMARY . . . . . . . . . . . . . . . . . . . . . . . . . . . . .
238
6 SPARQL: QUERYING THE SEMANTIC WEB . . . . . . . . . . . . . . . . 241
6.1 SPARQL OVERVIEW . . . . . . . . . . . . . . . . . . . . . . . . 241
6.1.1 SPARQL IN OFFICIAL LANGUAGE . . . . . . . . . . . . . 241
6.1.2 SPARQL IN PLAIN ENGLISH . . . . . . . . . . . . . . . . 242
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XVI CONTENTS
6.1.3 OTHER RELATED CONCEPTS: RDF DATA STORE, RDF DATABASE, AND TRIPLE
STORE . . . . . . . . . . . . . . . 243
6.2 SET UP JOSEKI SPARQL ENDPOINT . . . . . . . . . . . . . . . . . 244
6.3 SPARQL QUERY LANGUAGE . . . . . . . . . . . . . . . . . . . . 247
6.3.1 THE BIG PICTURE . . . . . . . . . . . . . . . . . . . . . 249
6.3.2 SELECT QUERY . . . . . . . . . . . . . . . . . . . . . 252
6.3.3 CONSTRUCT QUERY . . . . . . . . . . . . . . . . . . . 272
6.3.4 DESCRIBE QUERY . . . . . . . . . . . . . . . . . . . 274
6.3.5 ASK QUERY . . . . . . . . . . . . . . . . . . . . . . . 275
6.4 WHAT IS MISSING FROM SPARQL? . . . . . . . . . . . . . . . . . 277
6.5 SPARQL 1.1 . . . . . . . . . . . . . . . . . . . . . . . . . . . 277
6.5.1 INTRODUCTION: WHAT IS NEW? . . . . . . . . . . . . . . . 277
6.5.2 SPARQL 1.1 QUERY . . . . . . . . . . . . . . . . . . . 278
6.5.3 SPARQL 1.1 UPDATE . . . . . . . . . . . . . . . . . . 285
6.6 SUMMARY . . . . . . . . . . . . . . . . . . . . . . . . . . . . .
290
7 FOAF: FRIEND OF A FRIEND . . . . . . . . . . . . . . . . . . . . . . .
291
7.1 WHAT IS FOAF AND WHAT IT DOES . . . . . . . . . . . . . . . . . 291
7.1.1 FOAF IN PLAIN ENGLISH . . . . . . . . . . . . . . . . . 291
7.1.2 FOAF IN OFFICIAL LANGUAGE . . . . . . . . . . . . . . . 292
7.2 CORE FOAF VOCABULARY AND EXAMPLES . . . . . . . . . . . . . . 293
7.2.1 THE BIG PICTURE: FOAF VOCABULARY . . . . . . . . . . . 293
7.2.2 CORE TERMS AND EXAMPLES . . . . . . . . . . . . . . . 294
7.3 CREATE YOUR FOAF DOCUMENT AND GET INTO THE FRIEND CIRCLE . . . . . .
. . . . . . . . . . . . . . . . . 301
7.3.1 HOW DOES THE CIRCLE WORK? . . . . . . . . . . . . . . 301
7.3.2 CREATE YOUR FOAF DOCUMENT . . . . . . . . . . . . . . 303
7.3.3 GET INTO THE CIRCLE: PUBLISH YOUR FOAF DOCUMENT . . 305 7.3.4 FROM
WEB PAGES FOR HUMAN EYES TO WEB PAGES FOR MACHINES . . . . . . . . . . .
. . . . . . . . . . . 307
7.4 SEMANTIC MARKUP: A CONNECTION BETWEEN THE TWO WORLDS . . . 308 7.4.1
WHAT IS SEMANTIC MARKUP . . . . . . . . . . . . . . . 308
7.4.2 SEMANTIC MARKUP: PROCEDURE AND EXAMPLE . . . . . . . 308
7.4.3 SEMANTIC MARKUP: FEASIBILITY AND DIFFERENT APPROACHES . . . . . .
. . . . . . . . . . 312
7.5 SUMMARY . . . . . . . . . . . . . . . . . . . . . . . . . . . . .
314
8 SEMANTIC MARKUP AT WORK: RICH SNIPPETS AND SEARCHMONKEY . . 315 8.1
INTRODUCTION . . . . . . . . . . . . . . . . . . . . . . . . . . . . 315
8.1.1 PREREQUISITE: HOW DOES A SEARCH ENGINE WORK? . . . . 315 8.1.2
RICH SNIPPETS AND SEARCHMONKEY . . . . . . . . . . . 318
8.2 RICH SNIPPETS BY GOOGLE . . . . . . . . . . . . . . . . . . . . .
319
8.2.1 WHAT IS RICH SNIPPETS: AN EXAMPLE . . . . . . . . . . 319
8.2.2 HOW DOES IT WORK: SEMANTIC MARKUP USING MICROFORMATS/RDFA . . . .
. . . . . . . . . . . . . . . 319
8.2.3 TEST IT OUT YOURSELF . . . . . . . . . . . . . . . . . . . 322
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CONTENTS XVII
8.3 SEARCHMONKEY FROM YAHOO! . . . . . . . . . . . . . . . . . . . 322
8.3.1 WHAT IS SEARCHMONKEY: AN EXAMPLE . . . . . . . . . . 323
8.3.2 HOW DOES IT WORK: SEMANTIC MARKUP USING MICROFORMATS/RDFA . . . .
. . . . . . . . . . . . . . . 324
8.3.3 TEST IT OUT YOURSELF . . . . . . . . . . . . . . . . . . . 329
8.4 SUMMARY . . . . . . . . . . . . . . . . . . . . . . . . . . . . .
330
REFERENCE . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .
. 330
9 SEMANTIC WIKI . . . . . . . . . . . . . . . . . . . . . . . . . . . .
. 331
9.1 INTRODUCTION: FROM WIKI TO SEMANTIC WIKI . . . . . . . . . . . 331
9.1.1 WHAT IS A WIKI? . . . . . . . . . . . . . . . . . . . . . 331
9.1.2 FROM WIKI TO SEMANTIC WIKI . . . . . . . . . . . . . . 333
9.2 ADDING SEMANTICS TO WIKI SITE . . . . . . . . . . . . . . . . . .
335
9.2.1 NAMESPACE AND CATEGORY SYSTEM . . . . . . . . . . . . 336
9.2.2 SEMANTIC ANNOTATION IN SEMANTIC MEDIAWIKI . . . . . 339 9.3 USING
THE ADDED SEMANTICS . . . . . . . . . . . . . . . . . . . 347
9.3.1 BROWSING . . . . . . . . . . . . . . . . . . . . . . . . 347
9.3.2 WIKI SITE SEMANTIC SEARCH . . . . . . . . . . . . . . . 350
9.3.3 INFERENCING . . . . . . . . . . . . . . . . . . . . . . . 356
9.4 WHERE IS THE SEMANTICS? . . . . . . . . . . . . . . . . . . . . .
359
9.4.1 SWIVT: AN UPPER ONTOLOGY FOR SEMANTIC WIKI . . . . 360 9.4.2
UNDERSTANDING OWL/RDF EXPORTS . . . . . . . . . . . 362
9.4.3 IMPORTING ONTOLOGY: A BRIDGE TO OUTSIDE WORLD . . . . 372 9.5 THE
POWER OF THE SEMANTIC WEB . . . . . . . . . . . . . . . . . 375
9.6 USE SEMANTIC MEDIAWIKI TO BUILD YOUR OWN SEMANTIC WIKI . . 376 9.7
SUMMARY . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 376
10 DBPEDIA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .
. . 379
10.1 INTRODUCTION TO DBPEDIA . . . . . . . . . . . . . . . . . . . . .
379
10.1.1 FROM MANUAL MARKUP TO AUTOMATIC GENERATION OF ANNOTATION . . . .
. . . . . . . . . . . . 379
10.1.2 FROM WIKIPEDIA TO DBPEDIA . . . . . . . . . . . . . . 380
10.1.3 THE LOOK AND FEEL OF DBPEDIA: PAGE REDIRECT . . . . . 382 10.2
SEMANTICS IN DBPEDIA . . . . . . . . . . . . . . . . . . . . . . 385
10.2.1 INFOBOX TEMPLATE . . . . . . . . . . . . . . . . . . . 385
10.2.2 CREATING DBPEDIA ONTOLOGY . . . . . . . . . . . . . . 388
10.2.3 INFOBOX EXTRACTION METHODS . . . . . . . . . . . . . . 394
10.3 ACCESSING DBPEDIA DATASET . . . . . . . . . . . . . . . . . . . 396
10.3.1 USING SPARQL TO QUERY DBPEDIA . . . . . . . . . . . 397
10.3.2 DIRECT DOWNLOAD OF DBPEDIA DATASETS . . . . . . . . . 401
10.3.3 ACCESS DBPEDIA AS LINKED DATA . . . . . . . . . . . . 406
10.4 SUMMARY . . . . . . . . . . . . . . . . . . . . . . . . . . . . .
408
REFERENCE . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .
. 408
11 LINKED OPEN DATA . . . . . . . . . . . . . . . . . . . . . . . . . .
. 409
11.1 THE CONCEPT OF LINKED DATA AND ITS BASIC RULES . . . . . . . . 409
11.1.1 THE CONCEPT OF LINKED DATA . . . . . . . . . . . . . . 409
IMAGE 6
XVIII CONTENTS
11.1.2 HOW BIG IS THE WEB OF LINKED DATA AND THE LOD PROJECT . . . . . .
. . . . . . . . . . . . 411
11.1.3 THE BASIC RULES OF LINKED DATA . . . . . . . . . . . . 412
11.2 PUBLISHING RDF DATA ON THE WEB . . . . . . . . . . . . . . . . 413
11.2.1 IDENTIFYING THINGS WITH URIS . . . . . . . . . . . . . . 413
11.2.2 CHOOSING VOCABULARIES FOR RDF DATA . . . . . . . . . . 423
11.2.3 CREATING LINKS TO OTHER RDF DATA . . . . . . . . . . . 427
11.2.4 SERVING INFORMATION AS LINKED DATA . . . . . . . . . . 434
11.3 THE CONSUMPTION OF LINKED DATA . . . . . . . . . . . . . . . . 439
11.3.1 DISCOVER SPECIFIC TARGET ON THE LINKED DATA WEB . . . 441 11.3.2
ACCESSING THE WEB OF LINKED DATA . . . . . . . . . . . 445
11.4 LINKED DATA APPLICATION . . . . . . . . . . . . . . . . . . . . .
455
11.4.1 LINKED DATA APPLICATION EXAMPLE: REVYU . . . . . . . 456
11.4.2 WEB 2.0 MASHUPS VS. LINKED DATA MASHUPS . . . . . . 463 11.5
SUMMARY . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 465
12 BUILDING THE FOUNDATION FOR DEVELOPMENT ON THE SEMANTIC WEB . . 467
12.1 DEVELOPMENT TOOLS FOR THE SEMANTIC WEB . . . . . . . . . . . . 467
12.1.1 FRAMEWORKS FOR THE SEMANTIC WEB APPLICATIONS . . . . 467 12.1.2
REASONERS FOR THE SEMANTIC WEB APPLICATIONS . . . . . 471 12.1.3
ONTOLOGY ENGINEERING ENVIRONMENTS . . . . . . . . . . 474
12.1.4 OTHER TOOLS: SEARCH ENGINES FOR THE SEMANTIC WEB . . 478 12.1.5
WHERE TO FIND MORE? . . . . . . . . . . . . . . . . . . 478
12.2 SEMANTIC WEB APPLICATION DEVELOPMENT METHODOLOGY . . . . . 478
12.2.1 FROM DOMAIN MODELS TO ONTOLOGY-DRIVEN ARCHITECTURE . . . . . . .
. . . . . . . . . . . . . . . . 478
12.2.2 AN ONTOLOGY DEVELOPMENT METHODOLOGY PROPOSED BY NOY AND
MCGUINNESS . . . . . . . . . . . 484
12.3 SUMMARY . . . . . . . . . . . . . . . . . . . . . . . . . . . . .
489
REFERENCE . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .
. 490
13 JENA: A FRAMEWORK FOR DEVELOPMENT ON THE SEMANTIC WEB . . . . 491
13.1 JENA: A SEMANTIC WEB FRAMEWORK FOR JAVA . . . . . . . . . . . 491
13.1.1 WHAT IS JENA AND WHAT IT CAN DO FOR US? . . . . . . . 491
13.1.2 GETTING JENA PACKAGE . . . . . . . . . . . . . . . . . . 492
13.1.3 USING JENA IN YOUR PROJECTS . . . . . . . . . . . . . . . 495
13.2 BASIC RDF MODEL OPERATIONS . . . . . . . . . . . . . . . . . . 501
13.2.1 CREATING AN RDF MODEL . . . . . . . . . . . . . . . . . 502
13.2.2 READING AN RDF MODEL . . . . . . . . . . . . . . . . . 507
13.2.3 UNDERSTANDING AN RDF MODEL . . . . . . . . . . . . . 509
13.3 HANDLING PERSISTENT RDF MODELS . . . . . . . . . . . . . . . . 515
13.3.1 FROM IN-MEMORY MODEL TO PERSISTENT MODEL . . . . . . 515 13.3.2
SETTING UP MYSQL . . . . . . . . . . . . . . . . . . . 516
13.3.3 DATABASE-BACKED RDF MODELS . . . . . . . . . . . . . 517
13.4 INFERENCING USING JENA . . . . . . . . . . . . . . . . . . . . . .
524
IMAGE 7
CONTENTS XIX
13.4.1 JENA INFERENCING MODEL . . . . . . . . . . . . . . . . . 524
13.4.2 JENA INFERENCING EXAMPLES . . . . . . . . . . . . . . . 525
13.5 SUMMARY . . . . . . . . . . . . . . . . . . . . . . . . . . . . .
531
14 FOLLOW YOUR NOSE: A BASIC SEMANTIC WEB AGENT . . . . . . . . . . 533
14.1 THE PRINCIPLE OF FOLLOW-YOUR-NOSE METHOD . . . . . . . . . . . 533
14.1.1 WHAT IS FOLLOW-YOUR-NOSE METHOD? . . . . . . . . . . 533
14.1.2 URI DECLARATIONS, OPEN LINKED DATA, AND FOLLOW-YOUR-NOSE METHOD .
. . . . . . . . . . . . 535
14.2 A FOLLOW-YOUR-NOSE AGENT IN JAVA . . . . . . . . . . . . . . . 536
14.2.1 BUILDING THE AGENT . . . . . . . . . . . . . . . . . . . 536
14.2.2 RUNNING THE AGENT . . . . . . . . . . . . . . . . . . . 543
14.2.3 MORE CLUES FOR FOLLOW YOUR NOSE . . . . . . . . . . . 545
14.2.4 CAN YOU FOLLOW YOUR NOSE ON TRADITIONAL WEB? . . . . 546 14.3 A
BETTER IMPLEMENTATION OF FOLLOW-YOUR-NOSE AGENT: USING SPARQL QUERIES .
. . . . . . . . . . . . . . . . . . . . 548
14.3.1 IN-MEMORY SPARQL OPERATION . . . . . . . . . . . . . 549
14.3.2 USING SPARQL ENDPOINTS REMOTELY . . . . . . . . . . 553
14.4 SUMMARY . . . . . . . . . . . . . . . . . . . . . . . . . . . . .
556
15 MORE APPLICATION EXAMPLES ON THE SEMANTIC WEB . . . . . . . . . . 559
15.1 BUILDING YOUR CIRCLE OF TRUST: A FOAF AGENT YOU CAN USE . . 559
15.1.1 WHO IS ON YOUR E-MAIL LIST? . . . . . . . . . . . . . . 559
15.1.2 THE BASIC IDEA . . . . . . . . . . . . . . . . . . . . . . 560
15.1.3 BUILDING THE EMAILADDRESSCOLLECTOR AGENT . . 563 15.1.4 CAN YOU
DO THE SAME FOR TRADITIONAL WEB? . . . . . . 572
15.2 A SHOPBOT ON THE SEMANTIC WEB . . . . . . . . . . . . . . . . . 573
15.2.1 A SHOPBOT WE CAN HAVE . . . . . . . . . . . . . . . . 573
15.2.2 A SHOPBOT WE REALLY WANT . . . . . . . . . . . . . . . 574
15.2.3 BUILDING OUR SHOPBOT . . . . . . . . . . . . . . . . . 583
15.2.4 DISCUSSION: FROM PROTOTYPE TO REALITY . . . . . . . . . 599
15.3 SUMMARY . . . . . . . . . . . . . . . . . . . . . . . . . . . . .
600
INDEX . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .
. . . . 601 |
| any_adam_object | 1 |
| author | Yu, Liyang |
| author_GND | (DE-588)139018441 |
| author_facet | Yu, Liyang |
| author_role | aut |
| author_sort | Yu, Liyang |
| author_variant | l y ly |
| building | Verbundindex |
| bvnumber | BV039107996 |
| classification_rvk | ST 205 |
| ctrlnum | (OCoLC)700066210 (DE-599)BVBBV039107996 |
| dewey-full | 006.332 006.336 |
| dewey-hundreds | 000 - Computer science, information, general works |
| dewey-ones | 006 - Special computer methods |
| dewey-raw | 006.332 006.336 |
| dewey-search | 006.332 006.336 |
| dewey-sort | 16.332 |
| dewey-tens | 000 - Computer science, information, general works |
| discipline | Informatik |
| format | Book |
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| id | DE-604.BV039107996 |
| illustrated | Illustrated |
| indexdate | 2024-07-20T11:12:34Z |
| institution | BVB |
| isbn | 3642159699 9783642159695 9783642159701 |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-022651782 |
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| physical | XIX, 608 S. Ill., graph. Darst. 24 cm |
| publishDate | 2011 |
| publishDateSearch | 2011 |
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| publisher | Springer |
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| spelling | Yu, Liyang Verfasser (DE-588)139018441 aut A developer's guide to the semantic web Liyang Yu Berlin [u.a.] Springer 2011 XIX, 608 S. Ill., graph. Darst. 24 cm txt rdacontent n rdamedia nc rdacarrier Literaturangaben Ontologie Wissensverarbeitung (DE-588)4827894-4 gnd rswk-swf Wiki (DE-588)4806885-8 gnd rswk-swf OWL Informatik (DE-588)4396527-1 gnd rswk-swf RDF Informatik (DE-588)4737512-7 gnd rswk-swf Semantic Web (DE-588)4688372-1 gnd rswk-swf SPARQL (DE-588)7693644-2 gnd rswk-swf Semantic Web (DE-588)4688372-1 s Ontologie Wissensverarbeitung (DE-588)4827894-4 s RDF Informatik (DE-588)4737512-7 s OWL Informatik (DE-588)4396527-1 s SPARQL (DE-588)7693644-2 s Wiki (DE-588)4806885-8 s DE-604 Erscheint auch als Online-Ausgabe 10.1007/978-3-642-15970-1 text/html http://deposit.dnb.de/cgi-bin/dokserv?id=3547129&prov=M&dok_var=1&dok_ext=htm Inhaltstext SWB Datenaustausch application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=022651782&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA Inhaltsverzeichnis |
| spellingShingle | Yu, Liyang A developer's guide to the semantic web Ontologie Wissensverarbeitung (DE-588)4827894-4 gnd Wiki (DE-588)4806885-8 gnd OWL Informatik (DE-588)4396527-1 gnd RDF Informatik (DE-588)4737512-7 gnd Semantic Web (DE-588)4688372-1 gnd SPARQL (DE-588)7693644-2 gnd |
| subject_GND | (DE-588)4827894-4 (DE-588)4806885-8 (DE-588)4396527-1 (DE-588)4737512-7 (DE-588)4688372-1 (DE-588)7693644-2 |
| title | A developer's guide to the semantic web |
| title_auth | A developer's guide to the semantic web |
| title_exact_search | A developer's guide to the semantic web |
| title_full | A developer's guide to the semantic web Liyang Yu |
| title_fullStr | A developer's guide to the semantic web Liyang Yu |
| title_full_unstemmed | A developer's guide to the semantic web Liyang Yu |
| title_short | A developer's guide to the semantic web |
| title_sort | a developer s guide to the semantic web |
| topic | Ontologie Wissensverarbeitung (DE-588)4827894-4 gnd Wiki (DE-588)4806885-8 gnd OWL Informatik (DE-588)4396527-1 gnd RDF Informatik (DE-588)4737512-7 gnd Semantic Web (DE-588)4688372-1 gnd SPARQL (DE-588)7693644-2 gnd |
| topic_facet | Ontologie Wissensverarbeitung Wiki OWL Informatik RDF Informatik Semantic Web SPARQL |
| url | http://deposit.dnb.de/cgi-bin/dokserv?id=3547129&prov=M&dok_var=1&dok_ext=htm http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=022651782&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA |
| work_keys_str_mv | AT yuliyang adevelopersguidetothesemanticweb |