Knowledge Reasoning: Fundamentals and Applications

· One Billion Knowledgeable · MI ierunātājs: Mason (no Google)
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What Is Knowledge Reasoning


Knowledge representation and reasoning is a subfield of artificial intelligence (AI) that is devoted to the challenge of describing information about the world in a format that a computer system can use to solve complex problems, such as diagnosing a medical condition or having a conversation in a natural language. Examples of complex problems that can be solved by knowledge representation and reasoning include diagnosing a medical condition and having a conversation in a natural language. In order to construct formalisms that will make it easier to design and build complicated systems, knowledge representation combines discoveries from the field of psychology regarding how humans solve issues and represent knowledge. The application of rules and the interactions between sets and subsets are two examples of the forms of reasoning that can be automated with the help of knowledge representation and reasoning, which also incorporates results from logic.


How You Will Benefit


(I) Insights, and validations about the following topics:


Chapter 1: Knowledge representation and reasoning


Chapter 2: Knowledge management


Chapter 3: Semantic technology


Chapter 4: Knowledge graph


Chapter 5: Logico-linguistic modeling


Chapter 6: Conceptual graph


Chapter 7: Commonsense knowledge (artificial intelligence)


Chapter 8: Ontology engineering


Chapter 9: Knowledge-based systems


Chapter 10: Functional completeness


(II) Answering the public top questions about knowledge reasoning.


(III) Real world examples for the usage of knowledge reasoning in many fields.


(IV) 17 appendices to explain, briefly, 266 emerging technologies in each industry to have 360-degree full understanding of knowledge reasoning' 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 knowledge reasoning.

Par autoru

Fouad Sabry is the former Regional Head of Business Development for Applications at HP in Southern Europe, Middle East, and Africa (SEMEA). Fouad has received his B.Sc. of Computer Systems and Automatic Control in 1996, dual master’s degrees from University of Melbourne (UoM) in Australia, Master of Business Administration (MBA) in 2008, and Master of Management in Information Technology (MMIT) in 2010. 

Fouad has more than 20 years of experience in Information Technology and Telecommunications fields, working in local, regional, and international companies, such as Vodafone and IBM in Middle East and Africa (MEA) region. Fouad joined HP Middle East (ME), based in Dubai, United Arab Emirates (UAE) in 2013 and helped develop the software business in tens of markets across Southern Europe, Middle East, and Africa (SEMEA) regions. Currently, Fouad is an entrepreneur, author, futurist, focused on Emerging Technologies, and Industry Solutions, and founder of One Billion Knowledgeable (1BK) Initiative.

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Vairāk no: Fouad Sabry

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