Linked data management /
"With the growing popularity of the Semantic Web, more and more semantic data and data sources become available and accessible for everyone. By establishing semantic links between the data, answers to (complex) queries can be evaluated based on the data on multiple providers instead of just one...
Clasificación: | Libro Electrónico |
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Otros Autores: | , , |
Formato: | Electrónico eBook |
Idioma: | Inglés |
Publicado: |
Boca Raton, FL :
CRC Press,
[2014]
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Colección: | Emerging directions in database systems and applications.
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Temas: | |
Acceso en línea: | Texto completo |
Tabla de Contenidos:
- 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 DatabaseChapter 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 InterfacesChapter 17: Linked Data Services; Chapter 18: Using read-write Linked Data for Application Integration; Bibliography; Back Cover.