Description
RDF Database Systems
Triples Storage and SPARQL Query Processing
Authors: Curé Olivier, Blin Guillaume
Language: EnglishSubjects for RDF Database Systems:
Keywords
Access path; ACID; Allocation; Big Data; Business analytics and intelligence; Challenges; Client server architecture; Commercial; Compression of large dictionaries; Data management; database management system; Distribution; Execution; Expected features; Fragmentation; Front coding; Full text search; Heuristics; Homogeneous and heterogeneous distributed database management system; Huffman encoding; Index; Integrity constraints; Joins; Knowledge base; Logical and physical plans; Materialization; mediator-based system; Native; Non-native; NoSQL; OBDA; Ontology; Open-source; Optimization; OWL; Parsing; Peer to peer; polytglot persistence; Production-ready; Query processing; Query reformulation (rewriting); RDBMS; RDF; RDFS; Reasoning; relational model; Resolution; Rule-based and Object-based inferences; Self-indexing; Semantic Web; SKOS; Smart encoding; SPARQL; SPARQL endpoint; Statistics; Storage; Stream processing; String encoding; structural; Structured Query Language; tableau and consequence-based; Translation; Web of Data
256 p. · 19x23.3 cm · Paperback
Description
/li>Contents
/li>Readership
/li>Biography
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- Introduction: RDF and Linked Open Data
- RDF Ecosystem
- Database technologies
- Native RDF storage approaches
- Non-native RDF storage approaches
- Conclusion
Semantic, database, knowledge representation developers and academics including researchers, grad students, and professors.
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.
- 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