A developer's guide to the semantic web:
Saved in:
| Main Author: | |
|---|---|
| Format: | Electronic eBook |
| Language: | English |
| Published: |
Heidelberg
Springer
[2014]
|
| Edition: | Second edition |
| Subjects: | |
| Online Access: | Inhaltsverzeichnis |
| Item Description: | Previous edition: ©2011 Description based on print version record |
| Physical Description: | 1 online resource (xxv, 829 pages) |
| ISBN: | 9783662437957 9783662437964 |
Staff View
MARC
| LEADER | 00000nmm a2200000zc 4500 | ||
|---|---|---|---|
| 001 | BV043023164 | ||
| 003 | DE-604 | ||
| 005 | 20151120 | ||
| 007 | cr|uuu---uuuuu | ||
| 008 | 151119s2014 |||| o||u| ||||||eng d | ||
| 020 | |a 9783662437957 |c Print |9 978-3-662-43795-7 | ||
| 020 | |a 9783662437964 |c Online |9 978-3-662-43796-4 | ||
| 035 | |a (OCoLC)899160202 | ||
| 035 | |a (DE-599)BVBBV043023164 | ||
| 040 | |a DE-604 |b ger |e rda | ||
| 041 | 0 | |a eng | |
| 049 | |a DE-863 |a DE-862 | ||
| 082 | 0 | |a 025'.0427 |2 23 | |
| 084 | |a ST 205 |0 (DE-625)143613: |2 rvk | ||
| 100 | 1 | |a Yu, Liyang |4 aut | |
| 245 | 1 | 0 | |a A developer's guide to the semantic web |c Liyang Yu |
| 250 | |a Second edition | ||
| 264 | 1 | |a Heidelberg |b Springer |c [2014] | |
| 264 | 4 | |c © 2014 | |
| 300 | |a 1 online resource (xxv, 829 pages) | ||
| 336 | |b txt |2 rdacontent | ||
| 337 | |b c |2 rdamedia | ||
| 338 | |b cr |2 rdacarrier | ||
| 500 | |a Previous edition: ©2011 | ||
| 500 | |a Description based on print version record | ||
| 650 | 4 | |a Semantic Web | |
| 650 | 0 | 7 | |a SPARQL |0 (DE-588)7693644-2 |2 gnd |9 rswk-swf |
| 650 | 0 | 7 | |a Ontologie |g Wissensverarbeitung |0 (DE-588)4827894-4 |2 gnd |9 rswk-swf |
| 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 OWL |g Informatik |0 (DE-588)4396527-1 |2 gnd |9 rswk-swf |
| 650 | 0 | 7 | |a Wiki |0 (DE-588)4806885-8 |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 |
| 689 | 0 | 3 | |a OWL |g Informatik |0 (DE-588)4396527-1 |D s |
| 689 | 0 | 4 | |a SPARQL |0 (DE-588)7693644-2 |D s |
| 689 | 0 | 5 | |a Wiki |0 (DE-588)4806885-8 |D s |
| 689 | 0 | |5 DE-604 | |
| 856 | 4 | 2 | |m HBZ Datenaustausch |q application/pdf |u http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=028447921&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA |3 Inhaltsverzeichnis |
| 912 | |a ZDB-38-EBR | ||
| 999 | |a oai:aleph.bib-bvb.de:BVB01-028447921 | ||
Record in the Search Index
| DE-BY-FWS_katkey | 587938 |
|---|---|
| _version_ | 1824554478477508608 |
| adam_text | Titel: A developer’s guide to the semantic web
Autor: Yu, Liyang
Jahr: 2014
Contents
Part I Core of the Semantic Web
1 A Web of Data: Toward the Idea of the Semantic Web..................3
1.1 A Motivating Example: Data Integration on the Web................4
1.1.1 A Smart Data Integration Agent..................................4
1.1.2 Is Smart Data Integration Agent Possible?....................10
1.1.3 The Idea of the Semantic Web....................................11
1.2 A More General Goal: A Web Understandable to Machines . . . 12
1.2.1 How Do We Use the Web?..........................................12
1.2.2 What Stops Us From Doing More?..............................15
1.2.3 Again, the Idea of the Semantic Web..........................17
1.3 The Semantic Web: A First Look............................................17
1.3.1 The Concept of the Semantic Web..............................17
1.3.2 The Semantic Web, Linked Data and the Web of Data... 18
1.3.3 Some Basic Things About the Semantic Web..............20
Reference..........................................................................................21
2 The Building Block for the Semantic Web: RDF............................23
2.1 RDF Overview........................................................................23
2.1.1 RDF In Official Language..........................................23
2.1.2 RDF in Plain English..................................................25
2.2 The Abstract Model of RDF....................................................29
2.2.1 The Big Picture..........................................................29
2.2.2 Statement..................................................................30
2.2.3 Resource and Its URI Name........................................31
2.2.4 Predicate and Its URI Name........................................36
2.2.5 RDF Triples: Knowledge That Machines Can Use .... 38
2.2.6 RDF Literals and Blank Node......................................40
2.2.7 A Summary So Far....................................................47
xvii
Contents
.18
2.3 RDF Serialization: RDF/XML Syntax...................
2.3.1 The Big Picture: RDF Vocabulary...............
2.3.2 Basic Syntax and Examples....................
2.3.3 Other RDF Capabilities and Examples........................66
2.4 Other RDF Sterilization Formats..............................................73
2.4.1 Notation-3, Turtle and N-Triples..................................73
2.4.2 Turtle Language..........................................................73
2.5 Fundamental Rules of RDF...................................81
2.5.1 Information that Is Understandable by Machines..........81
2.5.2 Distributed Information Aggregation............................84
2.5.3 A Hypothetical Real World Example..........................85
2.6 More About RDF....................................................................88
2.6.1 Dublin Core: Example of Predefined RDF
Vocabulary................................................................88
2.6.2 XML vs. RDF?..........................................................90
2.6.3 Use a RDF Validator..................................................93
2.7 Summary................................................................................94
Other RDF-Related Technologies*. Microformats, RDFa
and GRDDL....................................................................................97
3.1 Introduction: Why Do We Need These?....................................97
3.2 Microformats..........................................................................98
3.2.1 Microformats: The Big Picture....................................98
3.2.2 Microformats: Syntax and Examples............................99
3.2.3 Microformats and RDF..............................................105
3.3 RDFa......................................................................................106
3.3.1 RDFa: The Big Picture................................................106
3.3.2 RDFa Attributes and RDFa Elements..........................107
3.3.3 RDFa: Rules and Examples........................................108
3.3.4 RDFa and RDF............................115
3.4 GRDDL..........................................116
3.4.1 GRDDL: The Big Picture............................................116
3.4.2 Using GRDDL with Microformats..............................117
3.4.3 Using GRDDL with RDFa...............118
3.5 Summary..................... ............jp
RDFS and Ontology................................p,
4.1 RDFS Overview.........
121
-t.i.L Rurs in Plain English........................ 121
4.1.2 RDFS in Official Language.................... 123
4.2 RDFS + RDF: One More Step Toward Machine-Readable..... 123
4.2.1 A Common Language to Sh
4.2.2 Machine Inferencing Based
A Common Language to Share.................. 123
.Machine Inferencing Based on RDFS............. 125
4.3 RDFS Core Elements......
.................................................................126
4.3.1 The Big Picture: RDFS Vocabulary............................126
4.3.2 Basic Syntax and Examples........................................127
4.3.3 Summary So Far ....................................................146
Contents xix
4.4 The Concept of Ontology........................................................150
4.4.1 What Is Ontology........................................................151
4.4.2 The Benefits of Ontology............................................151
4.5 Building the Bridge to Ontology: SKOS..................................152
4.5.1 Knowledge Organization Systems (KOS)....................152
4.5.2 Thesauri vs. Ontologies..............................................154
4.5.3 Filling the Gap: SKOS................................................156
4.6 Another Look at Inferencing Based on RDF Schema................163
4.6.1 RDFS Ontology Based Reasoning: Simple,
Yet Powerful..............................................................163
4.6.2 Good, Better and Best: More Is Needed......................166
4.7 Summary................................................................................166
5 OWL: Web Ontology Language......................................................169
5.1 OWL Overview......................................................................169
5.1.1 OWL in Plain English................................................169
5.1.2 OWL in Official Language: OWL 1 and OWL 2..........170
5.1.3 From OWL 1 to OWL 2..............................................172
5.2 OWL 1 and OWL 2: The Big Picture........................................173
5.2.1 Basic Notions: Axiom, Entity, Expression and IRI
Names........................................................................173
5.2.2 Basic Syntax Forms: Functional-Style, RDF/XML
Syntax, Manchester Syntax and XML Syntax..............174
5.3 OWL 1 Web Ontology Language............................................175
5.3.1 Defining Classes: The Basics......................................176
5.3.2 Defining Classes: Localizing Global Properties............178
5.3.3 Defining Classes: Using Set Operators........................188
5.3.4 Defining Classes: Using Enumeration, Equivalent
and Disjoint................................................................191
5.3.5 Our Camera Ontology So Far......................................194
5.3.6 Define Properties: The Basics......................................197
5.3.7 Defining Properties: Property Characteristics................203
5.3.8 Camera Ontology Written Using OWL 1......................212
5.4 OWL 2 Web Ontology Language............................................216
5.4.1 What Is New in OWL 2..............................................217
5.4.2 New Constructs for Common Patterns..........................217
5.4.3 Improved Expressiveness for Properties......................221
5.4.4 Extended Support for Datatypes..................................232
5.4.5 Punning and Annotations............................................237
5.4.6 Other OWL 2 Features................................................241
5.4.7 OWL Constructs in Instance Documents......................246
5.4.8 OWL 2 Profiles..........................................................250
5.4.9 Our Camera Ontology in OWL 2................................256
5.5 Summary................................................................................262
Contents
xx
6 SPARQL: Querying the Semantic Web..........................................265
6.1 SPARQL Overview................................................................ 65
6.1.1 SPARQL in Official Language....................................265
6.1.2 SPARQL in Plain Language........................................266
6.1.3 RDF Datasets and SPARQL Endpoints........................267
6.2 SPARQL 1.0 Query Language..................................................269
6.2.1 The Big Picture..........................................................271
6.2.2 SELECT Query..........................................................274
6.2.3 CONSTRUCT Query . ....................... - - 302
6.2.4 DESCRIBE Query......................................................305
6.2.5 ASK Query................................................................306
6.2.6 What Is Missing from SPARQL 1.0?..........................307
6.3 SPARQL 1.1 Query Language..................................................308
6.3.1 Introduction: What Is New?........................................308
6.3.2 SPARQL 1.1 Query....................................................309
6.3.3 SPARQL 1.1 Federated Query....................................327
6.3.4 SPARQL 1.1 Update..................................................330
6.3.5 Other SPARQL 1.1 Features........................................342
6.4 Summary................................................................................352
Part II Applied Semantic Web
7 FOAF: Friend of a Friend..............................................................357
7.1 What FOAF Is and What It Does..............................................357
7.1.1 FOAF in Plain English................................................357
7.1.2 FOAF in Official Language........................................358
7.2 Core FOAF Vocabulary and Examples......................................359
7.2.1 The Big Picture: FOAF Vocabulary............................360
7.2.2 Core Terms and Examples..........................................161
7.3 Create Your FOAF Document and Get into the Friend Circle ... 368
7.3.1 How Does the Circle Work?........................................369
7.3.2 Create Your FOAF Document......
............................. 371
7 3 3 -
--- • w *. ^UVUlllLill •
7.3.4 From Web Pages for Human Eyes to Web Pages for
Get into the Circle: Publish Your FOAF Document. . !
371
Machines....................................................................374
7.4 Semantic Markup: A Connection Between the Two Worlds . . . 375
7.4.1 What Is Semantic Markup?..........................................376
7.4.2 Semantic Markup: Procedure and Example..................376
7.4.3 Semantic Markup: Feasibility and Different
Approaches..........................................380
7.5 Summary................................................................................382
Contents xxi
8 DBpedia..........................................................................................383
8.1 Introduction to DBpedia..........................................................383
8.1.1 From Manual Markup to Automatic Generation
of Annotation............................................................383
8.1.2 From Wikipedia to DBpedia........................................384
8.1.3 The Look-and-Feel of DBpedia: Page Redirect............385
8.2 Semantics in DBpedia..............................................................389
8.2.1 Infobox Template....................................................389
8.2.2 Creating DBpedia Ontology........................................392
8.2.3 Infobox Extraction Methods........................................398
8.3 Accessing DBpedia Dataset......................................................401
8.3.1 Using SPARQL to Query DBpedia..............................401
8.3.2 Direct Download of DBpedia Datasets........................406
8.3.3 Access DBpedia as Linked Data..................................412
8.4 Summary................................................................................414
Reference..........................................................................................414
9 Linked Open Data............................................................................415
9.1 The Concept of Linked Data and Its Basic Rules......................415
9.1.1 The Concept of Linked Data........................................415
9.1.2 How Big Are the Web of Linked Data and the
LOD Project?............................................................417
9.1.3 The Basic Rules of Linked Data..................................418
9.2 Publishing RDF Data on the Web............................................419
9.2.1 Identifying Things with URIs......................................420
9.2.2 Choosing Vocabularies for RDF Data..........................431
9.2.3 Creating Links to Other RDF Data..............................433
9.2.4 Serving Information as Linked Data............................440
9.3 The Consumption of Linked Data............................................446
9.3.1 Discover Specific Targets on the Linked Data Web. . . 448
9.3.2 Accessing the Web of Linked Data..............................452
9.4 Linked Data Application..........................................................462
9.4.1 Linked Data Application Example: Revyu....................462
9.4.2 Web 2.0 Mashups vs. Linked Data Mashups................470
9.5 Summary................................................................................472
10 schema.org and Semantic Markup..................................................475
10.1 Introduction to schema.org......................................................475
10.1.1 Whatlsschema.org?..................................................475
10.1.2 Understanding the schema.org Vocabulary..................477
10.2 Content Markup Using schema.org..........................................479
10.2.1 RDFa 1.1 Lite: A Simple Subset of RDFa....................479
10.2.2 What Markup Format to Use?......................................485
10.2.3 Type Checking and Other Issues..................................486
10.2.4 Validating Your Markup............................................488
Conients
10.3 Content Markup Example 1: Google Rich Snippets..................^90
10 3 1 what Is Rich Snippets: An Example..............
103.2 Google Rich Snippets: Semantic Markup Using ^
schema.org..................... * .....................cm
10.3.3 Using Google Rich Snippets Testing Tool..........
10.4 Content Markup Example 2: LRMI Project...............
10.4.1 The Idea of LRMI......................................................*
10.4.2 LRMI Specification....................................................
10.4.3 LRMI Implementation Examples................................5
10.5 Summary................................................................................^
References............................................
11 Social Networks and the Semantic Web.................................517
11.1 Overview of Social Networking Websites................................517
11.2 Facebook s Open Graph Protocol............................................519
11.2.1 Open Graph Protocol..................................................5 20
11.2.2 How Does It Work: Creating Typed Links Using OGP ... 524
11.2.3 Implications for the Semantic Web..............................529
11.3 Twitter Cards for Structured Information..................................530
11.3.1 Twitter Cards Overview..............................................530
11.3.2 How Does It Work: Structured Information
for Rich Tweets..........................................................533
11.3.3 Structured Information, But Not Semantic Web Yet. . . 538
11.4 Rich Pins for Structured Information........................................541
11.4.1 Rich Pin Overview......................................................541
11.4.2 How Does It Work: Generating Rich Pins Using
schema.org................................................................543
11.4.3 Semantic Markup at Work..........................................547
11.5 Summary................................................................................549
12 Other Recent Applications: data.gov and Wikidata........................551
12.1 Data.gov and the Semantic Web..............................................551
12.1.1 UnderstandingData.gov..............................................551
12.1.2 How Is Data.gov Related to the Semantic Web?..........557
12.1.3 Potential eGov Standards: Breaking the Boundaries
ofDatasets...........................................561
12.1.4 Example Data.gov Applications..................................564
12.2 Wikidata and the Semantic Web................... . . . 566
12.2.1 From Wikipedia to Wikidata..............566
12.2.2 Three Phases of the Wikidata Project................571
12.2.3 Wikidata as a Data Repository....................574
12.2.4 Wikidata and the Semantic Web . S77
12.3 Summary............................................
Contents xxiii
Part III Building Your Own Applications on the Semantic Web
13 Getting Started: Change Your Data into Structured Data..............589
13.1 RDF Data in General..............................................................589
13.1.1 What Does RDF Data Refer to?..................................590
13.1.2 Decide in Which Format to Publish Your RDF Data. . . . 591
13.1.3 Decide Which Ontology to Use to Publish Your Data. . . . 596
13.2 Creating RDF Data Manually..................................................602
13.2.1 Popular Editors and Validators....................................602
13.2.2 Examples: Using TopBraid to Create RDF Data..........603
13.3 RDB2RDF: W3C s Standard for Converting DB Content
to RDF Triples........................................................................608
13.3.1 RDB2RDF: General Background................................608
13.3.2 Direct Mapping from RDB to RDF..............................609
13.3.3 R2RML: RDB to RDF Mapping You Can Control.... 613
13.4 RDB2RDF Example Implementation........................................623
13.4.1 RDB2RDF Direct Mapping........................................623
13.4.2 Step-by-Step R2RML Example: Virtuoso....................624
13.5 Summary................................................................................642
14 Building the Foundation for Development on the Semantic Web.... 643
14.1 Development Tools for the Semantic Web................................643
14.1.1 Frameworks for the Semantic Web Applications..........643
14.1.2 Reasoners for the Semantic Web Applications..............647
14.1.3 Ontology Engineering Environments............................650
14.1.4 Other Tools: Search Engines for the Semantic Web. . . 654
14.1.5 Where to Find More?..................................................654
14.2 Semantic Web Application Development Methodology............655
14.2.1 From Domain Models to Ontology-Driven
Architecture................................................................655
14.2.2 An Ontology Development Methodology Proposed
by Noy and McGuinness............................................661
14.3 Summary................................................................................666
Reference..........................................................................................667
15 Example: Using Jena for Development on the Semantic Web..........669
15.1 Jena: A Semantic Web Framework for Java..............................669
15.1.1 What Is Jena and What Can It Do for Us?....................669
15.1.2 Getting the Jena Package............................................670
15.1.3 Using Jena in Your Projects........................................671
15.2 Basic RDF Model Operations..................................................676
15.2.1 Creating an RDF Model..............................................677
15.2.2 Reading an RDF Model..............................................683
15.2.3 Understanding an RDF Model....................................685
Contents
xxiv
692
15.3 Handling Persistent RDF Models............ • • .........
15.3.1 From In-Memory Model to Persistent Model........ oyz
15.3.2 Setting up MySQL........................... £
15.3.3 Database-Backed RDF Models..................
15.4 Inferencing Using Jena..............................
15.4.1 Jena Inferencing Model.......................
15.4.2 Jena Inferencing Examples..................... 703
15.5 Summary........................................
16 Follow Your Nose: A Basic Semantic Web Agent.............. 711
16.1 The Principle of Follow-Your-Nose Method............... 711
16.1.1 What Is the Follow-Your-Nose Method?......................711
16.1.2 URI Declarations, Open Linked Data and
Follow-Your-Nose Method..........................................713
16.2 A Follow-Your-Nose Agent in Java..........................................714
16.2.1 Building the Agent......................................................714
16.2.2 Running the Agent......................................................721
16.2.3 More Clues for Follow-Your-Nose..............................724
16.2.4 Can You Follow Your Nose on Traditional Web? . . . . 725
16.3 A Better Implementation of Follow-Your-Nose Agent:
Using SPARQL Queries..................................727
16.3.1 In-Memory SPARQL Operation..................................727
16.3.2 Using SPARQL Endpoints Remotely..........................732
16.4 Summary................................................................................735
17 A Search Engine That Supports Rich Snippets................................737
17.1 Why This Is an Interesting Project............................................737
17.2 Introduction to Lucene............................................................738
17.2.1 Lucene and Our Own Customized Search Engine . . . . 738
17.2.2 Core Components of Lucene........................................739
17.2.3 Use Lucene in Your Development Environment..........745
17.3 Preparing the Semantic Markups..............................................746
17.3.1 From Semantic Markup to Rich Snippets....................746
17.3.2 Different Deployment Models of the Markup..............747
17.3.3 Examples of Markup..................................................749
17.4 Building the Search Engine......................................................752
17.4.1 Creating the Indexer....................................................752
17.4.2 Creating the Searcher..................................759
17.4.3 Using Web Container to Start the Search......................763
17.5 Test It Out and Possible Expansions........................................768
17.5.1 Test Runs of the Search Engine..................................768
17.5.2 Possible Expansions..................................770
17.6 Summary......................................................^^2
Contents xxv
18 More Application Examples on the Semantic Web..........................773
18.1 Building Your Circle of Trust: A FOAF Agent You Can Use.. . 773
18.1.1 Who Is on Your E-Mail List?......................................773
18.1.2 The Basic Idea............................................................774
18.1.3 Building the EmailAddressCollector Agent.. . Ill
18.1.4 Can You Do the Same for the Traditional Web?..........788
18.2 A ShopBot on the Semantic Web..............................................788
18.2.1 A ShopBot We Can Have............................................788
18.2.2 A ShopBot We Really Want........................................790
18.2.3 Building Our ShopBot................................................799
18.2.4 Discussion: From Prototype to Reality........................817
18.3 Summary................................................................................818
Index......................................................................................................819
|
| 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 | BV043023164 |
| classification_rvk | ST 205 |
| collection | ZDB-38-EBR |
| ctrlnum | (OCoLC)899160202 (DE-599)BVBBV043023164 |
| dewey-full | 025'.0427 |
| dewey-hundreds | 000 - Computer science, information, general works |
| dewey-ones | 025 - Operations of libraries and archives |
| dewey-raw | 025'.0427 |
| dewey-search | 025'.0427 |
| dewey-sort | 225 3427 |
| dewey-tens | 020 - Library and information sciences |
| discipline | Allgemeines Informatik |
| edition | Second edition |
| format | Electronic eBook |
| fullrecord | <?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>02047nmm a2200529zc 4500</leader><controlfield tag="001">BV043023164</controlfield><controlfield tag="003">DE-604</controlfield><controlfield tag="005">20151120 </controlfield><controlfield tag="007">cr|uuu---uuuuu</controlfield><controlfield tag="008">151119s2014 |||| o||u| ||||||eng d</controlfield><datafield tag="020" ind1=" " ind2=" "><subfield code="a">9783662437957</subfield><subfield code="c">Print</subfield><subfield code="9">978-3-662-43795-7</subfield></datafield><datafield tag="020" ind1=" " ind2=" "><subfield code="a">9783662437964</subfield><subfield code="c">Online</subfield><subfield code="9">978-3-662-43796-4</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(OCoLC)899160202</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-599)BVBBV043023164</subfield></datafield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">DE-604</subfield><subfield code="b">ger</subfield><subfield code="e">rda</subfield></datafield><datafield tag="041" ind1="0" ind2=" "><subfield code="a">eng</subfield></datafield><datafield tag="049" ind1=" " ind2=" "><subfield code="a">DE-863</subfield><subfield code="a">DE-862</subfield></datafield><datafield tag="082" ind1="0" ind2=" "><subfield code="a">025'.0427</subfield><subfield code="2">23</subfield></datafield><datafield tag="084" ind1=" " ind2=" "><subfield code="a">ST 205</subfield><subfield code="0">(DE-625)143613:</subfield><subfield code="2">rvk</subfield></datafield><datafield tag="100" ind1="1" ind2=" "><subfield code="a">Yu, Liyang</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">A developer's guide to the semantic web</subfield><subfield code="c">Liyang Yu</subfield></datafield><datafield tag="250" ind1=" " ind2=" "><subfield code="a">Second edition</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="a">Heidelberg</subfield><subfield code="b">Springer</subfield><subfield code="c">[2014]</subfield></datafield><datafield tag="264" ind1=" " ind2="4"><subfield code="c">© 2014</subfield></datafield><datafield tag="300" ind1=" " ind2=" "><subfield code="a">1 online resource (xxv, 829 pages)</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="b">txt</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="b">c</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="b">cr</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="500" ind1=" " ind2=" "><subfield code="a">Previous edition: ©2011</subfield></datafield><datafield tag="500" ind1=" " ind2=" "><subfield code="a">Description based on print version record</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Semantic Web</subfield></datafield><datafield tag="650" ind1="0" ind2="7"><subfield code="a">SPARQL</subfield><subfield code="0">(DE-588)7693644-2</subfield><subfield code="2">gnd</subfield><subfield code="9">rswk-swf</subfield></datafield><datafield tag="650" ind1="0" ind2="7"><subfield code="a">Ontologie</subfield><subfield code="g">Wissensverarbeitung</subfield><subfield code="0">(DE-588)4827894-4</subfield><subfield code="2">gnd</subfield><subfield code="9">rswk-swf</subfield></datafield><datafield tag="650" ind1="0" ind2="7"><subfield code="a">RDF</subfield><subfield code="g">Informatik</subfield><subfield code="0">(DE-588)4737512-7</subfield><subfield code="2">gnd</subfield><subfield code="9">rswk-swf</subfield></datafield><datafield tag="650" ind1="0" ind2="7"><subfield code="a">Semantic Web</subfield><subfield code="0">(DE-588)4688372-1</subfield><subfield code="2">gnd</subfield><subfield code="9">rswk-swf</subfield></datafield><datafield tag="650" ind1="0" ind2="7"><subfield code="a">OWL</subfield><subfield code="g">Informatik</subfield><subfield code="0">(DE-588)4396527-1</subfield><subfield code="2">gnd</subfield><subfield code="9">rswk-swf</subfield></datafield><datafield tag="650" ind1="0" ind2="7"><subfield code="a">Wiki</subfield><subfield code="0">(DE-588)4806885-8</subfield><subfield code="2">gnd</subfield><subfield code="9">rswk-swf</subfield></datafield><datafield tag="689" ind1="0" ind2="0"><subfield code="a">Semantic Web</subfield><subfield code="0">(DE-588)4688372-1</subfield><subfield code="D">s</subfield></datafield><datafield tag="689" ind1="0" ind2="1"><subfield code="a">Ontologie</subfield><subfield code="g">Wissensverarbeitung</subfield><subfield code="0">(DE-588)4827894-4</subfield><subfield code="D">s</subfield></datafield><datafield tag="689" ind1="0" ind2="2"><subfield code="a">RDF</subfield><subfield code="g">Informatik</subfield><subfield code="0">(DE-588)4737512-7</subfield><subfield code="D">s</subfield></datafield><datafield tag="689" ind1="0" ind2="3"><subfield code="a">OWL</subfield><subfield code="g">Informatik</subfield><subfield code="0">(DE-588)4396527-1</subfield><subfield code="D">s</subfield></datafield><datafield tag="689" ind1="0" ind2="4"><subfield code="a">SPARQL</subfield><subfield code="0">(DE-588)7693644-2</subfield><subfield code="D">s</subfield></datafield><datafield tag="689" ind1="0" ind2="5"><subfield code="a">Wiki</subfield><subfield code="0">(DE-588)4806885-8</subfield><subfield code="D">s</subfield></datafield><datafield tag="689" ind1="0" ind2=" "><subfield code="5">DE-604</subfield></datafield><datafield tag="856" ind1="4" ind2="2"><subfield code="m">HBZ Datenaustausch</subfield><subfield code="q">application/pdf</subfield><subfield code="u">http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=028447921&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA</subfield><subfield code="3">Inhaltsverzeichnis</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">ZDB-38-EBR</subfield></datafield><datafield tag="999" ind1=" " ind2=" "><subfield code="a">oai:aleph.bib-bvb.de:BVB01-028447921</subfield></datafield></record></collection> |
| id | DE-604.BV043023164 |
| illustrated | Not Illustrated |
| indexdate | 2025-02-20T06:52:24Z |
| institution | BVB |
| isbn | 9783662437957 9783662437964 |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-028447921 |
| oclc_num | 899160202 |
| open_access_boolean | |
| owner | DE-863 DE-BY-FWS DE-862 DE-BY-FWS |
| owner_facet | DE-863 DE-BY-FWS DE-862 DE-BY-FWS |
| physical | 1 online resource (xxv, 829 pages) |
| psigel | ZDB-38-EBR |
| publishDate | 2014 |
| publishDateSearch | 2014 |
| publishDateSort | 2014 |
| publisher | Springer |
| record_format | marc |
| spellingShingle | Yu, Liyang A developer's guide to the semantic web Semantic Web SPARQL (DE-588)7693644-2 gnd Ontologie Wissensverarbeitung (DE-588)4827894-4 gnd RDF Informatik (DE-588)4737512-7 gnd Semantic Web (DE-588)4688372-1 gnd OWL Informatik (DE-588)4396527-1 gnd Wiki (DE-588)4806885-8 gnd |
| subject_GND | (DE-588)7693644-2 (DE-588)4827894-4 (DE-588)4737512-7 (DE-588)4688372-1 (DE-588)4396527-1 (DE-588)4806885-8 |
| 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 | Semantic Web SPARQL (DE-588)7693644-2 gnd Ontologie Wissensverarbeitung (DE-588)4827894-4 gnd RDF Informatik (DE-588)4737512-7 gnd Semantic Web (DE-588)4688372-1 gnd OWL Informatik (DE-588)4396527-1 gnd Wiki (DE-588)4806885-8 gnd |
| topic_facet | Semantic Web SPARQL Ontologie Wissensverarbeitung RDF Informatik OWL Informatik Wiki |
| url | http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=028447921&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA |
| work_keys_str_mv | AT yuliyang adevelopersguidetothesemanticweb |