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E-raamat: RDF Database Systems: Triples Storage and SPARQL Query Processing

(Associate Professor of Computer Science, Université Paris Est Marne la Vallée, France, currently visiting at Stanford.), (Professor of Computer Science, Université de Bordeaux, France)
  • Formaat: EPUB+DRM
  • Ilmumisaeg: 24-Nov-2014
  • Kirjastus: Morgan Kaufmann Publishers In
  • Keel: eng
  • ISBN-13: 9780128004708
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  • Formaat: EPUB+DRM
  • Ilmumisaeg: 24-Nov-2014
  • Kirjastus: Morgan Kaufmann Publishers In
  • Keel: eng
  • ISBN-13: 9780128004708
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"If you have this book in your hands, we guess you are interested in database management systems in general and more precisely those handling Resource Description Framework (RDF) as a data representation model. We believe it is the right time to study such systems because they are getting more and more attention in industry with communities of Web developers and information technology (IT) experts who are designing innovative applications, in universities and engineering schools with introductory and advanced courses, and in both academia and industry research to design and implement novel approaches to manage large RDF data sets. We can identify several reasons that are motivating this enthusiasm"--

RDF Database Systems is a cutting-edge guide that distills everything you need to know to effectively use or design an RDF database. This book starts with the basics of linked open data and covers the most recent research, practice, and technologies to help you leverage semantic technology. With an approach that combines technical detail with theoretical background, this book shows how to design and develop semantic web applications, data models, indexing and query processing solutions.
  • Understand the Semantic Web, RDF, RDFS, SPARQL, and OWL within the context of relational database management and NoSQL systems
  • Learn about the prevailing RDF triples solutions for both relational and non-relational databases, including column family, document, graph, and NoSQL
  • Implement systems using RDF data with helpful guidelines and various storage solutions for RDF
  • Process SPARQL queries with detailed explanations of query optimization, query plans, caching, and more
  • Evaluate which approaches and systems to use when developing Semantic Web applications with a helpful description of commercial and open-source systems

Muu info

The first book to distill how RDF databases work includes the technical details you need to effectively use an RDF database or build your own.
List of Figures and Tables
vii
Preface ix
1 Introduction
1(8)
1.1 Big data
1(3)
1.2 Web of data and the semantic web
4(2)
1.3 RDF data management
6(1)
1.4 Dimensions for comparing RDF stores
7(2)
2 Database Management Systems
9(32)
2.1 Technologies prevailing in the relational domain
10(13)
2.2 Technologies prevailing in the NoSQL ecosystem
23(15)
2.3 Evolutions of RDBMS and NoSQL systems
38(1)
2.4 Summary
39(2)
3 RDF and the Semantic Web Stack
41(40)
3.1 Semantic web
41(2)
3.2 RDF
43(9)
3.3 SPARQL
52(6)
3.4 SPARQL 1.1 update
58(2)
3.5 Ontology languages
60(14)
3.6 Reasoning
74(3)
3.7 Benchmarks
77(1)
3.8 Building semantic web applications
78(2)
3.9 Summary
80(1)
4 RDF Dictionaries: String Encoding
81(24)
4.1 Encoding motivation
81(1)
4.2 Classic encoding
82(16)
4.3 Smart encoding
98(1)
4.4 Allowing a full text search in literals
99(3)
4.5 Compressing large amounts of data
102(2)
4.6 Summary
104(1)
5 Storage and Indexing of RDF Data
105(40)
5.1 Introduction
105(3)
5.2 Native storage approach
108(17)
5.3 Non-native storage approach
125(17)
5.4 Complementary surveys
142(1)
5.5 Summary
143(2)
6 Query Processing
145(24)
6.1 Introduction
145(2)
6.2 Query parsing
147(2)
6.3 Query rewriting
149(3)
6.4 Optimization
152(12)
6.5 Query execution
164(1)
6.6 Query processing for update queries
165(1)
6.7 Summary
166(3)
7 Distribution and Query Federation
169(22)
7.1 Introduction
169(4)
7.2 Homogeneous systems
173(10)
7.3 Heterogeneous systems
183(7)
7.4 Summary
190(1)
8 Reasoning
191(32)
8.1 Introduction
191(2)
8.2 Reasoning and database management systems
193(4)
8.3 Reasoning methods
197(10)
8.4 Nondistributed systems and approaches
207(10)
8.5 Distributed reasoning
217(4)
8.6 Summary
221(2)
9 Conclusion
223(4)
9.1 Challenges
223(1)
9.2 Expected features
224(1)
9.3 The future of RDF stores
225(2)
References 227(8)
Index 235
Olivier Curé is an associate professor of computer science at the Université Paris-Est in France and is researching at the CNRS LIGM lab. He holds a Ph.D. in Artificial Intelligence from the Université de Paris V, France and has published three book chapters, eight journal articles and more than 50 papers in international, peer-reviewed conferences in the fields of databases, semantic web and ontologies. Professor Curé has organized workshops including Ambient Data Integration (ADI) at On the Move (OTM) conference in 2008, 2009 and 2010. He has received three cooperative research grants to work with the Database and Information System research team of Pr. Stefan Jablonski at the University of Bayreuth, Germany. In 2013, Professor Curé received a grant for a France-Stanford collaboration to conduct research with Stanfords BioMedical Informatics Research (BMIR) laboratory. Guillaume Blin is a full professor of computer science at the Université de Bordeaux in France affiliated to the LaBRI CNRS laboratory for his research. He obtained his Ph.D. in algorithmics at Université de Nantes, France. While most of his research has focused on Biological algorithmics, he has been collaborating with Olivier Curé on RDF triples storage and querying since early 2010.