Knowledge Graphs and Big Data Processing

Knowledge Graphs and Big Data Processing

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This open access book is part of the LAMBDA Project (Learning, Applying, Multiplying Big Data Analytics), funded by the European Union, GA No. 809965. Data Analytics involves applying algorithmic processes to derive insights. Nowadays it is used in many industries to allow organizations and companie...

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Detalles Bibliográficos
Otros Autores: Janev, Valentina (Editor ), Janev, Valentina. editor (editor), Graux, Damien. editor, Jabeen, Hajira. editor, Sallinger, Emanuel. editor
Formato: Libro electrónico
Idioma:Inglés
Publicado: Cham : Springer Nature 2020
2020.
Edición:1st ed. 2020.
Colección:Information Systems and Applications, incl. Internet/Web, and HCI ; 12072
Materias:
Database management.
Application software.
Artificial intelligence.
Computer logic.
Management information systems.
Database Management.
Information Systems Applications (incl. Internet).
Logic in AI.
Computer Appl. in Administrative Data Processing.
Business Information Systems.
Database Management
Information Systems Applications (incl. Internet)
Logic in AI
Computer Appl. in Administrative Data Processing
Business Information Systems
Computer and Information Systems Applications
Computer Application in Administrative Data Processing
artificial intelligence
big data
data analytics
data handling
data integration
data mining
databases
digital storage
domain knowledge
graph theory
information management
information technology
integrated data
internet
knowledge management
knowledge-based system
ontologies
semantics
Databases
Database programming
Information retrieval
Internet searching
Artificial intelligence
Public administration
Information technology: general issues
Business mathematics & systems
Ver en Biblioteca Universitat Ramon Llull:https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009428415206719
Tabla de Contenidos:
  • Foundations
  • Chapter 1. Ecosystem of Big Data
  • Chapter 2. Knowledge Graphs: The Layered Perspective
  • Chapter 3. Big Data Outlook, Tools, and Architectures
  • Architecture
  • Chapter 4. Creation of Knowledge Graphs
  • Chapter 5. Federated Query Processing
  • Chapter 6. Reasoning in Knowledge Graphs: An Embeddings Spotlight
  • Methods and Solutions
  • Chapter 7. Scalable Knowledge Graph Processing using SANSA
  • Chapter 8. Context-Based Entity Matching for Big Data
  • Applications
  • Chapter 9. Survey on Big Data Applications
  • Chapter 10. Case Study from the Energy Domain.

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