Nicht lieferbar
What Is Computer Science Ontology
An ontology is a representation, formal naming, and specification of the categories, qualities, and relations between the concepts, data, and entities that substantiate one, many, or all domains of discourse. In the field of information science, an ontology covers all of these elements. To put it another way, an ontology is a method of establishing a group of concepts and categories that are representative of a topic area in order to demonstrate how the characteristics of that subject area are related to one another.
How You Will Benefit
(I) Insights, and validations about the following topics:
Chapter 1: Ontology (computer science)
Chapter 2: Cyc
Chapter 3: Knowledge representation and reasoning
Chapter 4: Semantic Web
Chapter 5: Web Ontology Language
Chapter 6: Description logic
Chapter 7: Modeling language
Chapter 8: Upper ontology
Chapter 9: Ontology language
Chapter 10: Ontology engineering
(II) Answering the public top questions about computer science ontology.
(III) Real world examples for the usage of computer science ontology in many fields.
(IV) 17 appendices to explain, briefly, 266 emerging technologies in each industry to have 360-degree full understanding of computer science ontology' technologies.
Who This Book Is For
Professionals, undergraduate and graduate students, enthusiasts, hobbyists, and those who want to go beyond basic knowledge or information for any kind of computer science ontology.
An ontology is a representation, formal naming, and specification of the categories, qualities, and relations between the concepts, data, and entities that substantiate one, many, or all domains of discourse. In the field of information science, an ontology covers all of these elements. To put it another way, an ontology is a method of establishing a group of concepts and categories that are representative of a topic area in order to demonstrate how the characteristics of that subject area are related to one another.
How You Will Benefit
(I) Insights, and validations about the following topics:
Chapter 1: Ontology (computer science)
Chapter 2: Cyc
Chapter 3: Knowledge representation and reasoning
Chapter 4: Semantic Web
Chapter 5: Web Ontology Language
Chapter 6: Description logic
Chapter 7: Modeling language
Chapter 8: Upper ontology
Chapter 9: Ontology language
Chapter 10: Ontology engineering
(II) Answering the public top questions about computer science ontology.
(III) Real world examples for the usage of computer science ontology in many fields.
(IV) 17 appendices to explain, briefly, 266 emerging technologies in each industry to have 360-degree full understanding of computer science ontology' technologies.
Who This Book Is For
Professionals, undergraduate and graduate students, enthusiasts, hobbyists, and those who want to go beyond basic knowledge or information for any kind of computer science ontology.