Dynamic Knowledge Representation In Scientific Domains

Author : Pshenichny, Cyril,Diviacco, Paolo,Mouromtsev, Dmitry
Publisher : IGI Global
Page : 397 pages
File Size : 50,5 Mb
Release : 2018-03-16
Category : Science
ISBN : 9781522552628

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Dynamic Knowledge Representation in Scientific Domains by Pshenichny, Cyril,Diviacco, Paolo,Mouromtsev, Dmitry Pdf

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.

Author : Frank van Harmelen,Vladimir Lifschitz,Bruce Porter
Publisher : Elsevier
Page : 1034 pages
File Size : 40,9 Mb
Release : 2008-01-08
Category : Computers
ISBN : 0080557023

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Handbook of Knowledge Representation by Frank van Harmelen,Vladimir Lifschitz,Bruce Porter Pdf

Handbook of Knowledge Representation describes the essential foundations of Knowledge Representation, which lies at the core of Artificial Intelligence (AI). The book provides an up-to-date review of twenty-five key topics in knowledge representation, written by the leaders of each field. It includes a tutorial background and cutting-edge developments, as well as applications of Knowledge Representation in a variety of AI systems. This handbook is organized into three parts. Part I deals with general methods in Knowledge Representation and reasoning and covers such topics as classical logic in Knowledge Representation; satisfiability solvers; description logics; constraint programming; conceptual graphs; nonmonotonic reasoning; model-based problem solving; and Bayesian networks. Part II focuses on classes of knowledge and specialized representations, with chapters on temporal representation and reasoning; spatial and physical reasoning; reasoning about knowledge and belief; temporal action logics; and nonmonotonic causal logic. Part III discusses Knowledge Representation in applications such as question answering; the semantic web; automated planning; cognitive robotics; multi-agent systems; and knowledge engineering. This book is an essential resource for graduate students, researchers, and practitioners in knowledge representation and AI. * Make your computer smarter * Handle qualitative and uncertain information * Improve computational tractability to solve your problems easily

Author : Lytras, Miltiadis D.,Aljohani, Naif,Damiani, Ernesto,Chui, Kwok Tai
Publisher : IGI Global
Page : 399 pages
File Size : 42,7 Mb
Release : 2018-10-26
Category : Computers
ISBN : 9781522571872

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Semantic Web Science and Real-World Applications by Lytras, Miltiadis D.,Aljohani, Naif,Damiani, Ernesto,Chui, Kwok Tai Pdf

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.

Author : Pal, Madhumangal,Samanta, Sovan,Pal, Anita
Publisher : IGI Global
Page : 591 pages
File Size : 47,5 Mb
Release : 2019-08-30
Category : Computers
ISBN : 9781522593829

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Handbook of Research on Advanced Applications of Graph Theory in Modern Society by Pal, Madhumangal,Samanta, Sovan,Pal, Anita Pdf

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.

Author : E. Cornell Way
Publisher : Springer Science & Business Media
Page : 302 pages
File Size : 41,8 Mb
Release : 1991-03-31
Category : Computers
ISBN : 0792310055

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Knowledge Representation and Metaphor by E. Cornell Way Pdf

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.

Author : Garcia Marquez, Fausto Pedro
Publisher : IGI Global
Page : 478 pages
File Size : 44,5 Mb
Release : 2019-10-04
Category : Computers
ISBN : 9781799801078

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Handbook of Research on Big Data Clustering and Machine Learning by Garcia Marquez, Fausto Pedro Pdf

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.

Author : Khaldi, Mohamed
Publisher : IGI Global
Page : 458 pages
File Size : 47,7 Mb
Release : 2024-02-14
Category : Education
ISBN : 9798369331330

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Technological Tools for Innovative Teaching by Khaldi, Mohamed Pdf

In the evolving environment of education, academic scholars face the daunting challenge of navigating a multitude of pedagogical approaches and technologies. The design of effective learning activities demands a nuanced understanding of didactic innovation, instructional design, and the integration of technology. As educators strive to meet the diverse needs of learners, the demand for innovative solutions to enhance teaching methodologies becomes more pressing than ever. Technological Tools for Innovative Teaching emerges as a comprehensive solution to the challenges educators encounter in the modern academic arena. The book unravels the intricacies of pedagogical scenarios, providing a step-by-step guide to designing learning activities that align with educational objectives. By addressing topics such as the pedagogy of error, flipped classroom strategies, and tech pedagogy, the book equips scholars with a diverse toolkit to revolutionize their teaching methods.

Author : Zhang, Liang-Jie,Ning, Yishuang
Publisher : IGI Global
Page : 316 pages
File Size : 44,6 Mb
Release : 2018-10-19
Category : Computers
ISBN : 9781522572695

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Innovative Solutions and Applications of Web Services Technology by Zhang, Liang-Jie,Ning, Yishuang Pdf

With the development of Web 2.0 technologies, the internet has become a huge platform for information and data sharing. As such, web services provide an important foundation for branching technologies in end-user computing and applications. To make online technology more accessible for users, it is important to optimize web services to function properly or offer a personalized experience. Innovative Solutions and Applications of Web Services Technology is a collection of innovative research on the methods and applications of existing technologies for web service usability and accessibility. Highlighting a range of topics including business processes, cyber-physical systems, and recommendation accuracy, this book is ideally designed for IT professionals, researchers, graduate-level students, software developers, academicians, and computer engineers seeking current research on adapting online information and services to user needs.

Author : Proceedings of the National Academy of Sciences
Publisher : National Academies Press
Page : 432 pages
File Size : 46,6 Mb
Release : 2004
Category : Science
ISBN : 9780309092326

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Mapping Knowledge Domains by Proceedings of the National Academy of Sciences Pdf

Author : Velayutham, Sathiyamoorthi
Publisher : IGI Global
Page : 350 pages
File Size : 41,9 Mb
Release : 2021-01-29
Category : Computers
ISBN : 9781799831136

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Challenges and Opportunities for the Convergence of IoT, Big Data, and Cloud Computing by Velayutham, Sathiyamoorthi Pdf

In today’s market, emerging technologies are continually assisting in common workplace practices as companies and organizations search for innovative ways to solve modern issues that arise. Prevalent applications including internet of things, big data, and cloud computing all have noteworthy benefits, but issues remain when separately integrating them into the professional practices. Significant research is needed on converging these systems and leveraging each of their advantages in order to find solutions to real-time problems that still exist. Challenges and Opportunities for the Convergence of IoT, Big Data, and Cloud Computing is a pivotal reference source that provides vital research on the relation between these technologies and the impact they collectively have in solving real-world challenges. While highlighting topics such as cloud-based analytics, intelligent algorithms, and information security, this publication explores current issues that remain when attempting to implement these systems as well as the specific applications IoT, big data, and cloud computing have in various professional sectors. This book is ideally designed for academicians, researchers, developers, computer scientists, IT professionals, practitioners, scholars, students, and engineers seeking research on the integration of emerging technologies to solve modern societal issues.

Author : Kohei Arai,Rahul Bhatia,Supriya Kapoor
Publisher : Springer
Page : 1295 pages
File Size : 42,9 Mb
Release : 2019-07-08
Category : Technology & Engineering
ISBN : 9783030228682

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Intelligent Computing by Kohei Arai,Rahul Bhatia,Supriya Kapoor Pdf

This book presents the proceedings of the Computing Conference 2019, providing a comprehensive collection of chapters focusing on core areas of computing and their real-world applications. Computing is an extremely broad discipline, encompassing a range of specialized fields, each focusing on particular areas of technology and types of application, and the conference offered pioneering researchers, scientists, industrial engineers, and students from around the globe a platform to share new ideas and development experiences. Providing state-of-the-art intelligent methods and techniques for solving real- world problems, the book inspires further research and technological advances in this important area.

Author : Diviacco, Paolo
Publisher : IGI Global
Page : 495 pages
File Size : 43,6 Mb
Release : 2014-10-31
Category : Science
ISBN : 9781466665682

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Collaborative Knowledge in Scientific Research Networks by Diviacco, Paolo Pdf

Research inherently requires collaborative efforts between individuals, databases, and institutions. However, the systems that enable such interpersonal cooperation must be properly suited in facilitating such efforts to avoid impeding productivity. Collaborative Knowledge in Scientific Research Networks addresses the various systems in place for collaborative e-research and how these practices serve to enhance the quality of research across disciplines. Covering new networks available through social media as well as traditional methods such as mailing lists and forums, this publication considers various scientific disciplines and their individual needs. Theorists of collaborative scientific work, technology developers, researchers, and funding agency officials will find this book valuable in exploring and understanding the process of scientific collaboration.

Author : Kathleen S. Hornsby,May Yuan
Publisher : CRC Press
Page : 244 pages
File Size : 41,6 Mb
Release : 2008-04-09
Category : Computers
ISBN : 9781420060355

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Understanding Dynamics of Geographic Domains by Kathleen S. Hornsby,May Yuan Pdf

Although the dynamic aspect of the world is widely recognized, information systems have lagged in their ability to represent these dynamics and provide support for users and analysts, especially those who work with dynamic geographic domains. A collection of peer-reviewed articles, Understanding Dynamics of Geographic Domains showcases new research

Author : Yoram Vodovotz,Gary An
Publisher : Springer Nature
Page : 307 pages
File Size : 55,5 Mb
Release : 2020-11-04
Category : Medical
ISBN : 9783030565107

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Complex Systems and Computational Biology Approaches to Acute Inflammation by Yoram Vodovotz,Gary An Pdf

This second edition expands upon and updates the vital research covered in its predecessor, by presenting state-of-the-art multidisciplinary and systems-oriented approaches to complex diseases arising from and driven by the acute inflammatory response. The chapters in this volume provide an introduction to different types of computational modeling, and how these methods can be applied to specific inflammatory diseases, with a focus on providing readers a roadmap for integrating advanced mathematical and computational techniques with traditional experimental methods. In this second edition, we cover both well-established and emerging modeling methods, especially state-of-the-art machine learning approaches and the integration of data-driven and mechanistic modeling. This volume introduces the concept of Model-based Precision Medicine as an alternative approach to the current view of Precision Medicine, based on leveraging mechanistic computational modeling to decrease cost while increasing the information value of the data being obtained. By presenting the role of computational modeling as an integrated component of the research process, Complex Systems and Computational Biology Approaches to Acute Inflammation: A Framework for Model-based Precision Medicine offers a window into the recent past, the present, and the future of computationally-augmented biomedical research.

Author : Yingxu Wang,Keith Chan
Publisher : Springer
Page : 237 pages
File Size : 41,6 Mb
Release : 2009-06-12
Category : Computers
ISBN : 9783642020971

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Transactions on Computational Science V by Yingxu Wang,Keith Chan Pdf

The LNCS journal Transactions on Computational Science reflects recent developments in the field of Computational Science, conceiving the field not as a mere ancillary science but rather as an innovative approach supporting many other scientific disciplines. The journal focuses on original high-quality research in the realm of computational science in parallel and distributed environments, encompassing the facilitating theoretical foundations and the applications of large-scale computations and massive data processing. It addresses researchers and practitioners in areas ranging from aerospace to biochemistry, from electronics to geosciences, from mathematics to software architecture, presenting verifiable computational methods, findings and solutions and enabling industrial users to apply techniques of leading-edge, large-scale, high performance computational methods. The fifth volume of the Transactions on Computational Science journal, edited by Yingxu Wang and Keith C.C. Chan, is devoted to the subject of cognitive knowledge representation. This field of study focuses on the internal knowledge representation mechanisms of the brain and how these can be applied to computer science and engineering. The issue includes the latest research results in internal knowledge representation at the logical, functional, physiological, and biological levels and describes their impacts on computing, artificial intelligence, and computational intelligence.