A Developer's Guide to the Semantic Web:
Gespeichert in:
| 1. Verfasser: | |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Berlin [u.a.]
Springer Berlin
2011
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| Schlagworte: | |
| Online-Zugang: | BTU01 FHA01 FHM01 FHN01 FKE01 UBA01 UBG01 UBM01 UBR01 UBT01 UBW01 UBY01 UPA01 Volltext Inhaltsverzeichnis |
| Beschreibung: | 1 Online-Ressource (XIX, 608 S.) |
| ISBN: | 9783642159701 |
| DOI: | 10.1007/978-3-642-15970-1 |
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Datensatz im Suchindex
| _version_ | 1804143833254985728 |
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| 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
BIBLIOGRAFISCHE INFORMATIONEN HTTP://D-NB.INFO/1007492562
DIGITALISIERT DURCH
IMAGE 2
;IV 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, ANDGRDDL 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 OFFICIAI LANGUAGE 110
4.2 RDFS + RDF: ONE MORE STEP TOWARD MACHINE READABLE . .. I LL 4.2.1 A
COMMON LANGUAGE TO SHARE I LL
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
IMAGE 3
CONTENTS
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
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 PROFILES 226
5.4.9 OUR CAMERA ONTOLOGY IN OWL 2 233
5.5 SUMMARY 238
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
IMAGE 4
VI 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
IMAGE 5
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 I NF OBOX 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 E M A I L A D D R E S S C O L L E C T OR 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_facet | Yu, Liyang |
| author_role | aut |
| author_sort | Yu, Liyang |
| author_variant | l y ly |
| building | Verbundindex |
| bvnumber | BV037228768 |
| classification_rvk | ST 205 |
| collection | ZDB-2-SCS |
| ctrlnum | (OCoLC)707186993 (DE-599)DNB1007492562 |
| dewey-full | 006.336 006.332 |
| dewey-hundreds | 000 - Computer science, information, general works |
| dewey-ones | 006 - Special computer methods |
| dewey-raw | 006.336 006.332 |
| dewey-search | 006.336 006.332 |
| dewey-sort | 16.336 |
| dewey-tens | 000 - Computer science, information, general works |
| discipline | Informatik |
| doi_str_mv | 10.1007/978-3-642-15970-1 |
| format | Electronic eBook |
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| id | DE-604.BV037228768 |
| illustrated | Not Illustrated |
| indexdate | 2024-07-09T22:53:56Z |
| institution | BVB |
| isbn | 9783642159701 |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-021142490 |
| oclc_num | 707186993 |
| open_access_boolean | |
| owner | DE-473 DE-BY-UBG DE-M347 DE-20 DE-703 DE-19 DE-BY-UBM DE-Aug4 DE-92 DE-384 DE-355 DE-BY-UBR DE-859 DE-739 DE-706 DE-634 |
| owner_facet | DE-473 DE-BY-UBG DE-M347 DE-20 DE-703 DE-19 DE-BY-UBM DE-Aug4 DE-92 DE-384 DE-355 DE-BY-UBR DE-859 DE-739 DE-706 DE-634 |
| physical | 1 Online-Ressource (XIX, 608 S.) |
| psigel | ZDB-2-SCS |
| publishDate | 2011 |
| publishDateSearch | 2011 |
| publishDateSort | 2011 |
| publisher | Springer Berlin |
| record_format | marc |
| spelling | Yu, Liyang Verfasser aut A Developer's Guide to the Semantic Web Liyang Yu Berlin [u.a.] Springer Berlin 2011 1 Online-Ressource (XIX, 608 S.) txt rdacontent c rdamedia cr rdacarrier SPARQL (DE-588)7693644-2 gnd rswk-swf RDF Informatik (DE-588)4737512-7 gnd rswk-swf Wiki (DE-588)4806885-8 gnd rswk-swf Semantic Web (DE-588)4688372-1 gnd rswk-swf OWL Informatik (DE-588)4396527-1 gnd rswk-swf Ontologie Wissensverarbeitung (DE-588)4827894-4 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 Druck-Ausgabe, Hardcover 3-642-15969-9 Erscheint auch als Druck-Ausgabe, Hardcover 978-3-642-15969-5 https://doi.org/10.1007/978-3-642-15970-1 Volltext DNB Datenaustausch application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=021142490&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA Inhaltsverzeichnis |
| spellingShingle | Yu, Liyang A Developer's Guide to the Semantic Web SPARQL (DE-588)7693644-2 gnd RDF Informatik (DE-588)4737512-7 gnd Wiki (DE-588)4806885-8 gnd Semantic Web (DE-588)4688372-1 gnd OWL Informatik (DE-588)4396527-1 gnd Ontologie Wissensverarbeitung (DE-588)4827894-4 gnd |
| subject_GND | (DE-588)7693644-2 (DE-588)4737512-7 (DE-588)4806885-8 (DE-588)4688372-1 (DE-588)4396527-1 (DE-588)4827894-4 |
| 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 | SPARQL (DE-588)7693644-2 gnd RDF Informatik (DE-588)4737512-7 gnd Wiki (DE-588)4806885-8 gnd Semantic Web (DE-588)4688372-1 gnd OWL Informatik (DE-588)4396527-1 gnd Ontologie Wissensverarbeitung (DE-588)4827894-4 gnd |
| topic_facet | SPARQL RDF Informatik Wiki Semantic Web OWL Informatik Ontologie Wissensverarbeitung |
| url | https://doi.org/10.1007/978-3-642-15970-1 http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=021142490&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA |
| work_keys_str_mv | AT yuliyang adevelopersguidetothesemanticweb |