Preface |
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ix | |
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1 Library Standards and the Semantic Web |
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1 | (28) |
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1.1 The Web of Documents and the Semantic Web |
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1 | (7) |
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2 | (4) |
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1.1.2 The Linked Data Cloud |
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6 | (2) |
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1.2 OCLC's Experiments in Context |
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8 | (7) |
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1.2.1 Web Standards for Delivering Documents and Things |
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8 | (4) |
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1.2.2 The Library Community Responds |
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12 | (1) |
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1.2.3 Linked Data in WorldCat |
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13 | (2) |
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1.3 A Technical Introduction |
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15 | (11) |
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1.3.1 From a MARC 21 Record to RDF |
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17 | (5) |
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1.3.2 Managing Entities in the Web of Data |
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22 | (2) |
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1.3.3 A Systems Perspective |
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24 | (2) |
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26 | (3) |
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2 Modeling Library Authority Files |
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29 | (28) |
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29 | (2) |
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2.2 From Authority Records to RDF Triples |
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31 | (12) |
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2.2.1 The MARC 21 Authority Format |
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32 | (1) |
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2.2.2 MARC 21 Authority Records Modeled in SKOS |
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33 | (3) |
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2.2.3 The FOAF Model of `Person' |
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36 | (1) |
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2.2.4 The Library of Congress Authority Files |
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37 | (2) |
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2.2.5 The Faceted Application of Subject Terminology |
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39 | (1) |
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2.2.6 The Dewey Decimal Classification |
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40 | (3) |
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2.2.7 Summary: First-Generation RDF Models of Library Authority Files |
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43 | (1) |
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2.3 The Virtual International Authority File |
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43 | (10) |
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2.3.1 The VIAF Database Record Structure |
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44 | (3) |
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2.3.2 The VIAF Model of `Person' |
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47 | (4) |
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2.3.3 A Note about Uniform Titles |
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51 | (2) |
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53 | (4) |
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3 Modeling and Discovering Creative Works |
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57 | (30) |
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3.1 Library Cataloging and Linked Data |
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57 | (2) |
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3.2 The FRBR Group I Conceptual Model |
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59 | (3) |
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3.3 FRBR in the Web of Data |
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62 | (1) |
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3.4 The OCLC Model of Works |
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63 | (18) |
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3.4.1 Extending Schema.org |
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65 | (2) |
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3.4.2 Modeling FRBR Concepts in Schema.org and BiblioGraph |
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67 | (9) |
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3.4.3 A Note About URI Design |
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76 | (1) |
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3.4.4 BiblioGraph: A Curated Vocabulary for Schema.org |
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77 | (1) |
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3.4.5 Other Models of Creative Works |
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78 | (2) |
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3.4.6 The OCLC Model of Works: A Summary |
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80 | (1) |
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3.5 Discovering Creative Works Through Data Mining |
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81 | (3) |
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3.5.1 Identifying Works and Expressions |
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81 | (1) |
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3.5.2 Identifying Manifestations and Items |
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82 | (2) |
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84 | (3) |
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4 Entity Identification Through Text Mining |
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87 | (20) |
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87 | (1) |
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4.1.1 Text Mining Defined |
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87 | (1) |
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4.1.2 Associating Text with a URI |
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88 | (1) |
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4.2 Recognizing Key Entities |
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88 | (9) |
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91 | (4) |
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4.2.2 Names in Semi-structured Text |
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95 | (2) |
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4.2.3 Names in Unstructured Text |
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97 | (1) |
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97 | (5) |
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4.3.1 Creating Alignments |
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99 | (2) |
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4.3.2 Linked Library Vocabularies |
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101 | (1) |
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102 | (3) |
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105 | (2) |
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5 The Library Linked Data Cloud |
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107 | (14) |
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5.1 A Look Back and Forward |
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107 | (1) |
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107 | (6) |
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5.3 A Few Lessons and Some Persistent Challenges |
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113 | (8) |
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5.3.1 Conceptual Challenges |
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113 | (2) |
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5.3.2 Technical Challenges |
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115 | (1) |
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5.3.3 Environmental Challenges |
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116 | (5) |
Bibliography |
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121 | (18) |
Authors' Biographies |
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139 | |