Handbook on Ontologies

An ontology is a formal description of concepts and relationships that can exist for a community of human and/or machine agents. The notion of ontologies is crucial for the purpose of enabling knowledge sharing and reuse. The Handbook on Ontologies provides a comprehensive overview of the current st...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor Corporativo: SpringerLink (Online service)
Otros Autores: Staab, Steffen (Editor ), Studer, Rudi (Editor )
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2009.
Edición:2nd ed. 2009.
Colección:International Handbooks on Information Systems,
Temas:
Coding theory.
Information theory.
Business information services.
Mathematical logic.
Application software.
Coding and Information Theory.
IT in Business.
Mathematical Logic and Foundations.
Computer and Information Systems Applications.
Acceso en línea:Texto Completo
Tabla de Contenidos:
  • Ontology Representation Languages
  • What Is an Ontology?
  • Description Logics
  • Ontologies in F-Logic
  • Resource Description Framework
  • Web Ontology Language: OWL
  • Ontologies and Rules
  • Ontology Engineering
  • Ontology Engineering Methodology
  • Ontology Engineering and Evolution in a Distributed World Using DILIGENT
  • Formal Concept Analysis
  • An Overview of OntoClean
  • Ontology Design Patterns
  • Ontology Learning
  • Ontology and the Lexicon
  • Ontology Evaluation
  • Ontology Engineering Environments
  • Exploring the economical aspects of ontology engineering
  • Ontologies
  • Foundational Choices in DOLCE
  • An Ontology for Software
  • COMM: A Core Ontology for MultimediaAnnotation
  • Using the PSL Ontology
  • Ontologies for Formal Representation of Biological Systems
  • Ontologies for Cultural Heritage
  • Ontologies
  • RDF Storage and Retrieval Systems
  • Tableau-Based Reasoning
  • Resolution-Based Reasoning for Ontologies
  • Ontology Repositories
  • Ontology Mapping
  • Ontology based Infrastructure and Methods
  • Ontologies and Software Engineering
  • Semantic Web Services
  • Ontologies for Machine Learning
  • Information Extraction
  • Browsing and Navigation in Semantically Rich Spaces
  • Ontology based Applications
  • Ontologies for Knowledge Management
  • Application of Ontologies in Bioinformatics
  • Semantic Portals for Cultural Heritage
  • Ontology-Based Recommender Systems.

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