Computer Science Ontology: Fundamentals and Applications

ยท Artificial Intelligence แˆ˜แŒฝแˆแ 126 ยท One Billion Knowledgeable
แŠข-แˆ˜แŒฝแˆแ
137
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แ‹จแ‰ฐแˆฐแŒกแ‰ต แ‹ฐแˆจแŒƒแ‹Žแ‰ฝ แŠฅแŠ“ แŒแˆแŒˆแˆ›แ‹Žแ‰ฝ แ‹จแ‰ฐแˆจแŒ‹แŒˆแŒก แŠ แ‹ญแ‹ฐแˆ‰แˆ ย แ‹จแ‰ แˆˆแŒ  แˆˆแˆ˜แˆจแ‹ณแ‰ต
แˆœแ‹ญ 9 แˆ‹แ‹ญ แ‹จ22% แ‹‹แŒ‹ แ‰…แŠ“แˆฝ

แˆตแˆˆแ‹šแˆ… แŠข-แˆ˜แŒฝแˆแ

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.

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แ‰ฐแŠจแ‰ณแ‰ณแ‹ฉแŠ• แ‹ญแ‰€แŒฅแˆ‰

แ‰ฐแŒจแˆ›แˆช แ‰ Fouad Sabry

แ‰ฐแˆ˜แˆณแˆณแ‹ญ แŠข-แˆ˜แŒฝแˆแแ‰ต