دانلود کتاب Streaming Linked Data: From Vision to Practice

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Foreword Preface Contents Acronyms 1 General Introduction 1.1 Web Stream Processing at Glance 1.2 The ColorWave Running Example 1.3 RDF Stream Processing with RSP4J 1.3.1 Challenges and Requirements 1.3.2 RSP4J's Architecture 1.4 How to Read This Book 1.5 Outline References 2 Preliminaries 2.1 Introduction 2.2 Data Velocity 2.2.1 Data Streams and Continuous Queries 2.2.2 Relational Stream Processing 2.2.3 Stream Processing Engines 2.2.4 Complex Event Processing 2.3 Data Variety 2.3.1 RDF and RDF Schema 2.3.2 Reasoning Techniques 2.3.3 Web Ontology Language 2.3.4 SPARQL Protocol and RDF Query Language 2.3.4.1 SPARQL Query Language 2.3.4.2 SPARQL Evaluation Semantics 2.4 Chapter Summary References 3 Taming Variety and Velocity 3.1 Introduction 3.2 RDF Stream Processing 3.2.1 From CQL to RSP-QL 3.2.2 RSP-QL Query Language 3.2.3 Reporting Strategies 3.3 Reasoning over Web Streams 3.3.1 Problems with Standard Reasoning Techniques 3.3.1.1 Forward Chaining 3.3.1.2 Backward Chaining 3.3.2 Efficient Hierarchical Reasoning with C-Sprite 3.3.2.1 C-Sprite Under RSP-QL 3.3.2.2 A Data Structure for Efficient Hierarchical Reasoning 3.3.2.3 C-Sprite Algorithm 3.3.3 Incremental Maintenance Approaches 3.4 RSP4J: An API for RSP Engines 3.4.1 Querying 3.4.2 Streams 3.4.3 Operators 3.4.4 SDS and Time-Varying Graphs 3.4.5 Engine and Query Execution 3.4.6 Composing Operators Using RSP4J's Operator API 3.4.7 Reasoning in RSP4J 3.5 Chapter Summary References 4 Streaming Linked Data Life Cycle 4.1 Introduction 4.2 Linked and FAIR Data 4.3 The Steps of the Life Cycle 4.3.1 Identify 4.3.2 Model 4.3.3 Shape 4.3.4 Annotate 4.3.5 Describe 4.3.6 Serve 4.3.7 Discovery and Access 4.3.8 Process 4.4 Chapter Summary References 5 Web Stream Processing Systems and Benchmarks 5.1 Introduction 5.2 RSP Engines (And Their Alignment with RSP-QL) 5.2.1 Evaluation Time 5.2.2 C-SPARQL 5.2.3 CQELS 5.2.4 SPARQLstream 5.2.5 Strider 5.2.6 Comparison 5.2.7 Related Works 5.2.8 CEP Enabled RSP Engines 5.3 Benchmarking Web Stream Processing 5.3.1 Benchmarking Challenges and Key PerformanceIndicators 5.3.2 LSBench 5.3.3 SRBench and CSRBench 5.3.4 CityBench 5.3.5 Related Works 5.4 Methods and Tools 5.4.1 Heaven 5.4.2 CSRBench Oracle and YABench Driver 5.4.3 CityBench Testbed 5.4.4 RSPLab 5.4.5 Related Works 5.5 Chapter Summary References 6 Exercise Book 6.1 Introduction 6.2 Location-Detection Example 6.2.1 The Setup 6.2.2 The Data 6.2.3 The Queries 6.2.4 Solving Query 1 6.2.5 Solving Query 2 6.2.6 Solving Query 3 6.3 Publishing and Processing Wild Streams 6.3.1 DBPedia Live 6.3.2 Wikimedia EventStreams 6.3.3 Global Database of Events, Language, and Tone(GDELT) 6.4 Chapter Summary References