Semantic Web Information Management A Model-Based Perspective /
Databases have been designed to store large volumes of data and to provide efficient query interfaces. Semantic Web formats are geared towards capturing domain knowledge, interlinking annotations, and offering a high-level, machine-processable view of information. However, the gigantic amount of suc...
Clasificación: | Libro Electrónico |
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Autor Corporativo: | |
Otros Autores: | , , |
Formato: | Electrónico eBook |
Idioma: | Inglés |
Publicado: |
Berlin, Heidelberg :
Springer Berlin Heidelberg : Imprint: Springer,
2010.
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Edición: | 1st ed. 2010. |
Temas: | |
Acceso en línea: | Texto Completo |
Tabla de Contenidos:
- Semantic Web Data Storage
- Relational Technologies, Metadata and RDF
- A Metamodel Approach to Semantic Web Data Management
- Managing Terabytes of Web Semantics Data
- Data and Metadata Management
- 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
- The Semantic Web Languages
- 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
- SPBench: A SPARQL Performance Benchmark
- 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
- 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.