Dynamic Knowledge Representation in Scientific Domains

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Release : 2018-03-16
Genre : Science
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Book Rating : 626/5 ( reviews)

Dynamic Knowledge Representation in Scientific Domains - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Dynamic Knowledge Representation in Scientific Domains write by Pshenichny, Cyril. This book was released on 2018-03-16. Dynamic Knowledge Representation in Scientific Domains available in PDF, EPUB and Kindle. The main approach to understanding and creating knowledge engineering concepts is static knowledge. Currently, there is a need to approach knowledge through a dynamic lens and address changing relations on an elaborated syntactic and semantic basis. Dynamic Knowledge Representation in Scientific Domains provides emerging research on the internal and external changes in knowledge within various subject areas and their visual representations. While highlighting topics such as behavior diagrams, distribution analysis, and qualitative modeling, this publication explores the structural development and assessment of knowledge models. This book is an important resource for academicians, researchers, students, and practitioners seeking current research on information visualization in order to foster research and collaboration.

Knowledge Representation and Metaphor

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Release : 2013-03-14
Genre : Computers
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Book Rating : 415/5 ( reviews)

Knowledge Representation and Metaphor - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Knowledge Representation and Metaphor write by E. Cornell Way. This book was released on 2013-03-14. Knowledge Representation and Metaphor available in PDF, EPUB and Kindle. This series will include monographs and collections of studies devoted to the investigation and exploration of knowledge, information, and data processing systems of all kinds, no matter whether human, (other) animal, or machine. Its scope is intended to span the full range of interests from classical problems in the philosophy of mind and philosophical psychol ogy through issues in cognitive psychology and sociobiology (concerning the mental capabilities of other species) to ideas related to artificial intelligence and computer science. While primary emphasis will be placed upon theoretical, conceptual, and epistemological aspects of these problems and domains, empirical, experimental, and methodological studies will also appear from time to time. The problems posed by metaphor and analogy are among the most challenging that confront the field of knowledge representation. In this study, Eileen Way has drawn upon the combined resources of philosophy, psychology, and computer science in developing a systematic and illuminating theoretical framework for understanding metaphors and analogies. While her work provides solutions to difficult problems of knowledge representation, it goes much further by investigating some of the most important philosophical assumptions that prevail within artificial intelligence today. By exposing the limitations inherent in the assumption that languages are both literal and truth-functional, she has advanced our grasp of the nature of language itself. J.R.F.

Handbook of Research on Big Data Clustering and Machine Learning

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Release : 2019-10-04
Genre : Computers
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Book Rating : 071/5 ( reviews)

Handbook of Research on Big Data Clustering and Machine Learning - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Handbook of Research on Big Data Clustering and Machine Learning write by Garcia Marquez, Fausto Pedro. This book was released on 2019-10-04. Handbook of Research on Big Data Clustering and Machine Learning available in PDF, EPUB and Kindle. As organizations continue to develop, there is an increasing need for technological methods that can keep up with the rising amount of data and information that is being generated. Machine learning is a tool that has become powerful due to its ability to analyze large amounts of data quickly. Machine learning is one of many technological advancements that is being implemented into a multitude of specialized fields. An extensive study on the execution of these advancements within professional industries is necessary. The Handbook of Research on Big Data Clustering and Machine Learning is an essential reference source that synthesizes the analytic principles of clustering and machine learning to big data and provides an interface between the main disciplines of engineering/technology and the organizational, administrative, and planning abilities of management. Featuring research on topics such as project management, contextual data modeling, and business information systems, this book is ideally designed for engineers, economists, finance officers, marketers, decision makers, business professionals, industry practitioners, academicians, students, and researchers seeking coverage on the implementation of big data and machine learning within specific professional fields.

Handbook of Research on Advanced Applications of Graph Theory in Modern Society

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Release : 2019-08-30
Genre : Computers
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Book Rating : 829/5 ( reviews)

Handbook of Research on Advanced Applications of Graph Theory in Modern Society - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Handbook of Research on Advanced Applications of Graph Theory in Modern Society write by Pal, Madhumangal. This book was released on 2019-08-30. Handbook of Research on Advanced Applications of Graph Theory in Modern Society available in PDF, EPUB and Kindle. In the world of mathematics and computer science, technological advancements are constantly being researched and applied to ongoing issues. Setbacks in social networking, engineering, and automation are themes that affect everyday life, and researchers have been looking for new techniques in which to solve these challenges. Graph theory is a widely studied topic that is now being applied to real-life problems. The Handbook of Research on Advanced Applications of Graph Theory in Modern Society is an essential reference source that discusses recent developments on graph theory, as well as its representation in social networks, artificial neural networks, and many complex networks. The book aims to study results that are useful in the fields of robotics and machine learning and will examine different engineering issues that are closely related to fuzzy graph theory. Featuring research on topics such as artificial neural systems and robotics, this book is ideally designed for mathematicians, research scholars, practitioners, professionals, engineers, and students seeking an innovative overview of graphic theory.

Semantic Web Science and Real-World Applications

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Release : 2018-10-26
Genre : Computers
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Book Rating : 876/5 ( reviews)

Semantic Web Science and Real-World Applications - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Semantic Web Science and Real-World Applications write by Lytras, Miltiadis D.. This book was released on 2018-10-26. Semantic Web Science and Real-World Applications available in PDF, EPUB and Kindle. Continual advancements in web technology have highlighted the need for formatted systems that computers can utilize to easily read and sift through the hundreds of thousands of data points across the internet. Therefore, having the most relevant data in the least amount of time to optimize the productivity of users becomes a priority. Semantic Web Science and Real-World Applications provides emerging research exploring the theoretical and practical aspects of semantic web science and real-world applications within the area of big data. Featuring coverage on a broad range of topics such as artificial intelligence, social media monitoring, and microblogging recommendation systems, this book is ideally designed for IT consultants, academics, professionals, and researchers of web science seeking the current developments, requirements and standards, and technology spaces presented across academia and industries.