To Each Their Own | 10 |
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Theres Always One More | 11 |
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SUMMARY | 12 |
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Fundamental Concepts | 13 |
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Semantic Modeling | 15 |
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MODELING FOR HUMAN COMMUNICATION | 17 |
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EXPLANATION AND PREDICTION | 19 |
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Mediating Variability | 21 |
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Variation and Classes | 22 |
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Variation and Layers | 23 |
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Expressivity in Modeling | 26 |
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SUMMARY | 28 |
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Fundamental Concepts | 29 |
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RDFThe Basis of the Semantic Web | 31 |
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DISTRIBUTING DATA ACROSS THE WEB | 32 |
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MERGING DATA FROM MULTIPLE SOURCES | 36 |
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NAMESPACES URIs AND IDENTITY | 37 |
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Expressing URIs in Print | 40 |
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Standard Namespaces | 43 |
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IDENTIFIERS IN THE RDF NAMESPACE | 44 |
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RDF AND TABULAR DATA | 45 |
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HIGHERORDER RELATIONSHIPS | 49 |
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ALTERNATIVES FOR SERIALIZATION | 51 |
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Notation 3 RDF N3 | 52 |
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RDFXML | 53 |
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BLANK NODES | 54 |
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Ordered Information in RDF | 56 |
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Fundamental Concepts | 57 |
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Semantic Web Application Architecture | 59 |
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RDF PARSERSERIALIZER | 60 |
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Other Data SourcesConverters and Scrapers | 61 |
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RDF STORE | 64 |
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RDF Data Standards and Interoperability of RDF Stores | 66 |
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Comparison to Relational Queries | 72 |
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APPLICATION CODE | 73 |
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RDFBacked Web Portals | 75 |
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SUMMARY | 76 |
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Fundamental Concepts | 77 |
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RDF and Inferencing | 79 |
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INFERENCE IN THE SEMANTIC WEB | 80 |
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Virtues of InferenceBased Semantics | 82 |
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WHERE ARE THE SMARTS? | 83 |
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Asserted Triples versus Inferred Triples | 85 |
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When Does Inferencing Happen? | 87 |
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Inferencing as Glue | 88 |
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SUMMARY | 89 |
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Fundamental Concepts | 90 |
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RDF Schema | 91 |
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WHAT DOES IT MEAN? SEMANTICS AS INFERENCE | 93 |
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THE RDF SCHEMA LANGUAGE | 95 |
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domain and rdfsrange | 98 |
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subClassOf | 99 |
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RDFS MODELING COMBINATIONS AND PATTERNS | 102 |
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Property Intersection | 104 |
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Set Union | 105 |
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Property Union | 106 |
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CHALLENGES | 108 |
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InstanceLevel Data Integration | 110 |
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Data Typing Based on Use | 111 |
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Filtering Undefined Data | 115 |
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MODELING WITH DOMAINS AND RANGES | 116 |
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NONMODELING PROPERTIES IN RDFS | 120 |
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rdfsisDefinedBy | 121 |
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Fundamental Concepts | 122 |
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RDFSPlus | 123 |
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INVERSE | 124 |
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Integrating Data that Do Not Want to Be Integrated | 125 |
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Using the Modeling Language to Extend the Modeling Language | 127 |
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The Marriage of Shakespeare | 129 |
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Using OWL to Extend OWL | 130 |
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TRANSITIVITY | 131 |
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Relating Parents to Ancestors | 132 |
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Layers of Relationships | 133 |
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Managing Networks of Dependencies | 134 |
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EQUIVALENCE | 139 |
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Equivalent Classes | 141 |
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Equivalent Properties | 142 |
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Same Individuals | 143 |
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Merging Data from Different Databases | 146 |
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COMPUTING SAMENESSFUNCTIONAL PROPERTIES | 149 |
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Functional Properties | 150 |
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Inverse Functional Properties | 151 |
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Combining Functional and Inverse Functional Properties | 154 |
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