Handbook on Ontologies

• Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
• Άλλοι συγγραφείς: Staab, Steffen (Επιμελητής έκδοσης), Studer, Rudi (Επιμελητής έκδοσης)
• Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: Berlin, Heidelberg : Springer Berlin Heidelberg, 2009.
• Σειρά: International Handbooks on Information Systems
• Θέματα: Computer science.; Information technology.; Business > Data processing.; Coding theory.; Mathematical logic.; Computer Science.; Coding and Information Theory.; IT in Business.; Mathematical Logic and Foundations.; Information Systems Applications (incl. Internet).

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...

Πίνακας περιεχομένων:

• 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.