Ontology engineering /
| Main Authors: | , |
|---|---|
| Corporate Author: | |
| Format: | eBook |
| Language: | English |
| Published: |
[San Rafael, California] :
Morgan & Claypool Publishers,
[2019]
|
| Series: | Synthesis lectures on the semantic web, theory and technology ;
#18. |
| Subjects: | |
| Online Access: | Connect to the full text of this electronic book |
Table of Contents:
- 1. Foundations
- 1.1. Background and definitions
- 1.2. Logic and ontological commitment
- 1.3. Ontology-based capabilities
- 1.4. Knowledge representation languages
- 1.5. Knowledge bases, databases, and ontology
- 1.6. Reasoning, truth maintenance, and negation
- 1.7. Explanations and proof
- 2. Before you begin
- 2.1. Domain analysis
- 2.2. Modeling and levels of abstraction
- 2.3. General approach to vocabulary development
- 2.4. Business vocabulary development
- 2.5. Evaluating ontologies
- 2.6. Ontology design patterns
- 2.7. Selecting a language
- 3. Requirements and use cases
- 3.1. Getting started
- 3.2. Gathering references and potentially reusable ontologies
- 3.3. A bit about terminology
- 3.4. Summarizing the use case
- 3.5. The "body" of the use case
- 3.6. Creating usage scenarios
- 3.7. Flow of events
- 3.8. Competency questions
- 3.9. Additional resources
- 3.10. Integration with business and software requirements
- 4. Terminology
- 4.1. How terminology work fits into ontology engineering
- 4.2. Laying the groundwork
- 4.3. Term excerption and development
- 4.4. Terminology analysis and curation
- 4.5. Mapping terminology annotations to standard vocabularies
- 5. Conceptual modeling
- 5.1. Overview
- 5.2. Getting started
- 5.3. Identifying reusable ontologies
- 5.4. Preliminary domain modeling
- 5.5. Naming conventions for web-based ontologies
- 5.6. Metadata for ontologies and model elements
- 5.7. General nature of descriptions
- 5.8. Relationships and properties
- 5.9. Individuals and data ranges
- 5.10. Other common constructs
- 6. Conclusion.