- 576 pages
- English
- PDF
- Available on iOS & Android
eBook - PDF
Linked Data Management
About this book
Linked Data Management presents techniques for querying and managing Linked Data that is available on today's Web. The book shows how the abundance of Linked Data can serve as fertile ground for research and commercial applications.The text focuses on aspects of managing large-scale collections of Linked Data. It offers a detailed introduction to L
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Yes, you can access Linked Data Management by Andreas Harth, Katja Hose, Ralf Schenkel in PDF and/or ePUB format, as well as other popular books in Computer Science & Computer Science General. We have over one million books available in our catalogue for you to explore.
Information
Table of contents
- Cover
- Contents
- List of Figures
- List of Tables
- Preface
- About the Editors
- List of Contributors
- Part I: Introduction
- Chapter 1: Linked Data & the Semantic Web Standards
- Chapter 2: Aligning Ontologies of Linked Data
- Chapter 3: Architecture of Linked Data Applications
- Part II: Centralized Query Processing
- Chapter 4: Mapping Relational Databases to Linked Data
- Chapter 5: Efficient Query Processing in RDF Databases
- Chapter 6: Evaluating SPARQL Queries over Linked Data Streams
- Part III: Parallel Query Processing
- Chapter 7: SPARQL Query Processing in the Cloud
- Chapter 8: The Bigdata® RDF Graph Database
- Chapter 9: Experiences with Virtuoso Cluster RDF Column Store
- Part IV: Distributed Query Processing
- Chapter 10: Linked Data Query Processing Based on Link Traversal
- Chapter 11: Semantic Navigation on the Web of Data
- Chapter 12: Index-Based Source Selection and Optimization
- Chapter 13: P2P-Based Query Processing over Linked Data
- Chapter 14: Federated Query Processing over Linked Data
- Part V: Reasoning over RDF Data
- Chapter 15: On the Use of Abstract Models for RDF/S Provenance
- Chapter 16: Incremental Reasoning on RDF Streams
- Part VI: Linked Data Interfaces
- Chapter 17: Linked Data Services
- Chapter 18: Using read-write Linked Data for Application Integration
- Bibliography
- Back Cover