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Linked Open Data - Creating Knowledge Out of Interlinked Data - Soren Auer




Introduction to LOD21 The Linked Data Life-Cycle2 The Linked Data Paradigm2.1 Resource Identification with IRIs2.2 De-referencability2.3 RDF Data Model2.4 RDF Serializations3 Integrating Heterogeneous Tools into the LOD2 Stack3.1 Deployment Management Leveraging Debian PackagingExample of meta-packaging: OntoWiki.3.2 Data Integration Based on SPARQL, WebID and VocabulariesPackage Graph:Access Control Graph:Provenance Graph:3.3 REST Integration of User Interfaces4 Conclusion and OutlookReferencesTechnology Advances in Large-Scale RDF Data Management1 General Objectives2 Virtuoso Column Store2.1 Vectored Execution2.2 Vector Optimizations2.3 Query Optimization2.4 State of the RDF Tax3 Virtuoso Cluster Parallel3.1 Performance Dynamics3.2 Subsequent Development4 BSBM Benchmark Results4.1 Cluster Configuration4.2 Bulk Loading RDF4.3 Notes on the BI Workload4.4 Benchmark Results5 Emergent Schemas5.1 Step1: Basic CS Discovery5.2 Step2: Dimension Tables Detection5.3 Step3: Human-Friendly Labels5.4 Step4: CS Merging5.5 Step5: Schema and Instance Filtering5.6 Final Schema Evaluation6 ConclusionReferencesKnowledge Base Creation, Enrichment and Repair1 Linked Data Creation and Extraction1.1 DBpedia, a Large-Scale, Multilingual Knowledge Base Extracted from Wikipedia1.2 RDFa, Microdata and Microformats Extraction Framework1.3 Rozeta1.3.1 Dictionary Management1.3.2 Text Annotation and Enrichment2 Analysis, Enrichment and Repair of Linked Data with ORE Tool2.1 Logical Debugging2.1.1 Motivation2.1.2 Support in ORE2.2 Schema Enrichment2.2.1 Motivation2.2.2 Support in ORE2.3 Constraint Based Validation2.3.1 Motivation2.3.2 Support in ORE3 Ontology Repair with PatOMat4 Linked Data Quality Assessment with RDFUnit5 Analysis of Link Validity5.1 Web Linkage Validator5.2 Data Graph Summary Model5.3 Link Analysis5.4 Provenance5.5 How to Improve Your Dataset with the Web Linkage Validator6 Benchmarking Semantic Named Entity Recognition Systems7 ConclusionReferencesInterlinking and Knowledge Fusion1 Introduction2 Vocabulary Mapping3 The Silk Link Discovery Framework3.1 Silk: Functionality and Main Concepts3.2 The GenLink Algorithm3.3 The ActiveGenLink Algorithm4 Data Cleansing and Reconciliation with LODRefine4.1 LODRefine4.2 Use Cases4.3 Quality Evaluation of Crowdsourcing Results5 Data Quality Assessment and Fusion5.1 Quality Assessment Metrics5.2 Fusion Functions6 Data Interlinking and Fusion for Asian Languages6.1 Interlinking Korean Resources in the Korean Alphabet: Korean Phoneme Distance6.2 Interlinking Korean Resources in Korean and English: Korean Transliteration Distance6.3 Interlinking Asian Resources in Chinese Alphabet: Han Edit Distance6.4 Asian Data Fusion Assistant7 ConclusionReferencesFacilitating the Exploration and Visualization of Linked Data1 Introduction2 Rsine Getting Notified on Linked Data Changes2.1 Related Work2.2 Approach2.2.1 Subscribing for Notifications2.3 Stack Integration2.4 Notification Scenarios3 CubeViz – Exploration and Visualization of Statistical Linked Data3.1 The RDF Data Cube Vocabulary3.2 Integrity Analysis3.3 Faceted Exploration3.3.1 Generation of Dialogues3.3.2 Initial Pre-selection3.4 Chart VisualisationAPIsChart OptionsElement RecognitionInteractive LegendSharing Views4 Facete A Generic Spatial Facetted Browser for RDF4.1 User Interface4.2 Concepts4.2.1 Faceted Search4.2.2 Finding Connections between SPARQL Concepts4.3 Display of Large Amounts of Geometries4.4 Related Work5 Conclusions and Future WorkReferencesSupporting the Linked Data Life Cycle Using an Integrated Tool Stack1 Introduction2 The LOD2 Linked Data Stack2.1 Building a Linked Data Application2.2 Becoming LOD2 Linked Data Stack Component2.3 LOD2 Stack Repository2.4 Installing the LOD2 Linked Data Stack2.5 The LOD2 Linked Data Stack Release2.5.1 Available as Debian Packages2.5.2 Available as Online Component2.5.3 Available Online Data Sources2.5.4 The LOD2 Stack Components Functional Areas Coverage3 A Customized Linked Data Stack for Statistics3.1 Application Architecture and Scenarios3.2 LOD2 Statistical Workbench in Use3.2.1 The RDF Data Cube Vocabulary3.2.2 Example 1: Quality Assessment of RDF Data Cubes3.2.3 Example 2: Filtering, Visualization and Export of RDF Data Cubes3.2.4 Example 3: Merging RDF Data Cubes3.3 Towards a Broader Adoption3.3.1 Use Case 1: Digital Agenda Scoreboard3.3.2 Use Case 2: Statistical Office of the Republic of Serbia (SORS)3.3.3 Use Case 3: Business Registers Agency3.3.4 Challenges Faced by Early Adopters4 ConclusionReferencesUse Cases LOD2 for Media and Publishing1 Introduction1.1 Rationale for the Media and Publishing Use Case1.2 Wolters Kluwer Company Profile1.3 Data Transformation, Interlinking and Enrichment1.4 Editorial Data Interfaces and Visualization Tools1.5 Business Impact and Relevant Pre-conditions for Success2 Processing Data2.1 Transformation from XML to RDF2.2 Metadata Management ProcessPebbles, a Metadata EditorNotification Service2.3 Enrichment of WKD Data2.4 Visualization3 Licensing Semantic Metadata3.1 Traditional Protection Instruments for Intellectual Property3.2 Licensing Policies for Linked Data3.3 Rights Expression Languages for Linked Data Licenses4 ConclusionReferencesBuilding Enterprise Ready Applications Using Linked Open Data1 Introduction2 The Landscape of Enterprise and Corporate Data Today3 Why Should My Company Assets Go Linked Open Data?4 LOD Enterprise Architectures4.1 LOD Enterprise Architecture with a Publishing WorkflowExample4.2 LOD Enterprise Architecture Integration4.3 Transformation Pipeline to LOD Enterprise Architecture5 Best Practices5.1 Data Sources Identification5.2 Modelling for the Specific Domain5.3 Migration of Legacy Vocabularies5.4 Definition of the URI StrategyIdentification of Business Items as Resources Referenced by URIsUse HTTP/DNS Based URIsUse De-referenceable URIsSeparate Resource and Resource RepresentationDesign Cool URIsOpaque vs. Non opaque URIs5.5 Publishing5.5.1 Publishing Pattern for Relational Data5.5.2 Publishing Pattern for Excel/CSV Data5.5.3 Publishing Pattern for XML Data5.5.4 Publishing Pattern for Unstructured Data5.5.5 Hosting and Serving5.6 Interlinking The Creation of 5-Star Business Data5.7 Vocabulary Mapping6 ConclusionLifting Open Data Portals to the Data Web1 Public Data and Data Portals2 Using PublicData.eu2.1 Data Publishing2.2 Data Consumption3 Semantic Lifting of CSV to RDF3.1 Lifting the Tabular Data3.2 Tabular Data in PublicData.eu3.3 User-Driven Conversion Framework3.4 Conversion Results4 Statistical Data in Serbia4.1 Relevant Standards4.2 Working with Statistical Linked Data4.3 Serbian Statistical Office Use Case5 Multidimensional Economy Data in Poland5.1 Polish Open Economy Data5.2 Modelling Multidimensional Data with Data Cube Vocabulary5.3 Slices Generation5.4 Aggregations6 Exploration and Visualisation of Converted Data6.1 Statistical Data Exploration6.2 Geospatial Data Discovery6.3 Drill-Down Choropleth Maps6.4 Drill-Down Tables7 Conclusions and Future WorkReferencesLinked Open Data for Public Procurement1 Public Procurement Domain2 Public Contracts Ontology2.1 Ontologies Reused by the PCO2.2 Core Concepts of the PCO2.2.1 Tendering Phase Modeling2.2.2 Pre-realization, Realization and Evaluation Phase Modeling3 Procurement Data Extraction and Pre-processing3.1 Data Extraction from HTML3.2 Data Extraction from Structured Formats3.2.1 TED Data3.3 Czech Data3.3.1 Polish Data3.3.2 U.S. Data4 LOD-Enabled Public Contract Matchmaking4.1 Public Contracts Filing Application4.1.1 Buyer's and Supplier's View4.1.2 Application Architecture4.2 Matchmaking Functionality Internals5 Aggregated Analysis of Procurement Linked Data5.1 Analysis Scenarios5.2 Analytical Methods5.3 Integration of Analytical Functionality into PCFA6 ConclusionsReferences
 
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