Decentralized query processing over heterogeneous sources of knowledge graphs /
Clasificación: | Libro Electrónico |
---|---|
Autor principal: | |
Autor Corporativo: | |
Formato: | Electrónico eBook |
Idioma: | Inglés |
Publicado: |
Amsterdam, Netherlands :
IOS Press,
2022.
|
Colección: | Studies on the Semantic Web ;
v. 54. |
Temas: | |
Acceso en línea: | Texto completo |
Tabla de Contenidos:
- Intro
- Title Page
- Abstract
- Contents
- Foundations
- Introduction
- Motivation
- Problem Statement
- Challenges
- Hypotheses
- Contributions
- Outline
- Preliminaries
- The Semantic Web, Linked Data, and Knowledge Graphs
- The Resource Description Framework
- The SPARQL Protocol and RDF Query Language
- Linked Data Fragments
- Foundations of Query Processing
- Sample-based Knowledge Graph Profiling
- Related Work: Knowledge Graph Profiling and Sampling
- Performance Profiling
- Statistical Profiling
- Sampling from Graphs
- Performance Profiling of Triple Pattern Fragments
- Introduction
- Motivating Example
- Triple Pattern Fragments Profiler
- Evaluation
- Conclusion
- Statistical Profiling for Federated Query Processing
- Introduction
- Problem Statement
- Characteristic Sets Profile Feature Estimation
- Estimation-based Federated Query Planning
- Evaluation
- Conclusion
- Decentralized Query Processing over Knowledge Graphs
- Related Work: Decentralized Query Processing
- Single Knowledge Graphs
- Multiple Knowledge Graphs
- Robust Query Processing in Relational Databases
- Robust Query Processing over Linked Data Fragments
- Introduction
- Motivating Example
- Robust Query Planning
- A New Class of Adaptive Join Operators
- Evaluation
- Conclusion
- Federated Query Processing over Heterogeneous Linked Data Fragments
- Introduction
- Motivating Example
- Federations of Linked Data Fragment Services
- Conceptual Framework
- Illustration of the Framework
- Evaluation
- Conclusion
- Conclusion
- Summary
- Outlook
- Bibliography
- Notation
- Acronyms
- Prefixes
- Additional Material
- Chapter 4
- Chapter 5
- Efficiency of CSPF Computation