Introduction -- Data and Metadata Management -- Semantic Web Languages -- Part I: Semantic Web Data Storage -- Relational Technologies, Metadata and RDF -- A Metamodel Approach to Semantic Web Data Management -- Managing Terabytes of Web Semantics Data -- Part II: Reasoning in the Semantic Web -- Reasoning in Semantic Web-Based Systems -- Modular Knowledge Representation and Reasoning in the Semantic Web -- Semantic Matching with S-Match -- Preserving Semantics in Automatically Created Ontology Alignments -- tOWL: Integrating Time in OWL -- Part III: Semantic Web Data Querying -- Datalog Extensions for Tractable Query Answering over Ontologies -- On the Semantics of SPARQL -- Labeling RDF Graphs for Linear Time and Space Querying -- SPARQLog: SPARQL with Rules and Quantification -- SP2Bench: A SPARQL Performance Benchmark -- Part IV: Semantic Web Applications -- Using OWL in Data Integration -- Service Knowledge Spaces for Semantic Collaboration in Web-Based Systems -- Informative top-k Retrieval for Advanced Skill Management -- Part V: Engineering Semantic Web Systems -- MIDST: Interoperability for Semantic Annotations -- Virtuoso: RDF Support in a Native RDBMS -- Hera: Engineering Web Applications Using Semantic Web-Based Models -- Index
Summary
This book covers techniques for semantic information management by exploiting synergies between the logical basis of the Semantic Web and the logical foundations of data management
