Dynamic Knowledge Representation In Scientific Domains
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Dynamic Knowledge Representation In Scientific Domains
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Author : Pshenichny, Cyril
language : en
Publisher: IGI Global
Release Date : 2018-03-16
Dynamic Knowledge Representation In Scientific Domains written by Pshenichny, Cyril and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-03-16 with Science categories.
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.
Dynamic Knowledge Representation In Scientific Domains
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Author : Cyril Pshenichny
language : en
Publisher: Engineering Science Reference
Release Date : 2017-12-15
Dynamic Knowledge Representation In Scientific Domains written by Cyril Pshenichny and has been published by Engineering Science Reference this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-12-15 with Communication in science categories.
"This book focuses on the IT field from the outlook of industry professionals and covers multidisciplinary themes such as human resource management, sociology, psychology, and management along with technology itself. It links theory with application or critically analyzing cases with the objective of identifying good practice in the management of IT human capital"--
Understanding Dynamics Of Geographic Domains
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Author : Kathleen S. Hornsby
language : en
Publisher: CRC Press
Release Date : 2008-04-09
Understanding Dynamics Of Geographic Domains written by Kathleen S. Hornsby and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2008-04-09 with Computers categories.
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
Mapping Knowledge Domains
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Author : Proceedings of the National Academy of Sciences
language : en
Publisher: National Academies Press
Release Date : 2004
Mapping Knowledge Domains written by Proceedings of the National Academy of Sciences and has been published by National Academies Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2004 with Science categories.
Collaborative Knowledge In Scientific Research Networks
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Author : Diviacco, Paolo
language : en
Publisher: IGI Global
Release Date : 2014-10-31
Collaborative Knowledge In Scientific Research Networks written by Diviacco, Paolo and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-10-31 with Science categories.
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.
Handbook Of Research On Advanced Applications Of Graph Theory In Modern Society
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Author : Pal, Madhumangal
language : en
Publisher: IGI Global
Release Date : 2019-08-30
Handbook Of Research On Advanced Applications Of Graph Theory In Modern Society written by Pal, Madhumangal and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-08-30 with Computers categories.
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.
Scientific And Technical Aerospace Reports
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Author :
language : en
Publisher:
Release Date : 1995
Scientific And Technical Aerospace Reports written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1995 with Aeronautics categories.
Translational Systems Biology
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Author : Yoram Vodovotz
language : en
Publisher: Elsevier
Release Date : 2014-10-08
Translational Systems Biology written by Yoram Vodovotz and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-10-08 with Technology & Engineering categories.
Are we satisfied with the rate of drug development? Are we happy with the drugs that come to market? Are we getting our money's worth in spending for basic biomedical research? In Translational Systems Biology, Drs. Yoram Vodovotz and Gary An address these questions by providing a foundational description the barriers facing biomedical research today and the immediate future, and how these barriers could be overcome through the adoption of a robust and scalable approach that will form the underpinning of biomedical research for the future. By using a combination of essays providing the intellectual basis of the Translational Dilemma and reports of examples in the study of inflammation, the content of Translational Systems Biology will remain relevant as technology and knowledge advances bring broad translational applicability to other diseases. Translational systems biology is an integrated, multi-scale, evidence-based approach that combines laboratory, clinical and computational methods with an explicit goal of developing effective means of control of biological processes for improving human health and rapid clinical application. This comprehensive approach to date has been utilized for in silico studies of sepsis, trauma, hemorrhage, and traumatic brain injury, acute liver failure, wound healing, and inflammation. - Provides an explicit, reasoned, and systematic approach to dealing with the challenges of translational science across disciplines - Establishes the case for including computational modeling at all stages of biomedical research and healthcare delivery, from early pre-clinical studies to long-term care, by clearly delineating efficiency and costs saving important to business investment - Guides readers on how to communicate across domains and disciplines, particularly between biologists and computational researchers, to effectively develop multi- and trans-disciplinary research teams
Applied Graph Data Science
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Author : Pethuru Raj
language : en
Publisher: Elsevier
Release Date : 2025-01-27
Applied Graph Data Science written by Pethuru Raj and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-01-27 with Computers categories.
Applied Graph Data Science: Graph Algorithms and Platforms, Knowledge Graphs, Neural Networks, and Applied Use Cases delineates how graph data science significantly empowers the application of data science. The book discusses the emerging paradigm of graph data science in detail along with its practical research and real-world applications. Readers will be enriched with the knowledge of graph data science, graph analytics, algorithms, databases, platforms, and use cases across a variety of research and topics and applications. This book also presents how graphs are used as a programming language, especially demonstrating how Sleptsov Net Computing can contribute as an entirely graphical concurrent processing language for supercomputers. Graph data science is emerging as an expressive and illustrative data structure for optimally representing a variety of data types and their insightful relationships. These data structures include graph query languages, databases, algorithms, and platforms. From here, powerful analytics methods and machine learning/deep learning (ML/DL) algorithms are quickly evolving to analyze and make sense out of graph data. As a result, ground-breaking use cases across scientific research topics and industry verticals are being developed using graph data representation and manipulation. A wide range of complex business and scientific research requirements are efficiently represented and solved through graph data analysis, and Applied Graph Data Science: Graph Algorithms and Platforms, Knowledge Graphs, Neural Networks, and Applied Graph Data Science gives readers both the conceptual foundations and technical methods for applying these powerful techniques. - Provides comprehensive coverage of the emerging paradigm of graph data science and its real-world applications - Gives readers practical guidance on how to approach and solve complex data analysis problems using graph data science, with an emphasis on deep analysis techniques including graph neural networks (GNNs), machine learning, algorithms, graph databases, and graph query languages - Covers extended graph models such as bipartite directed graphs of place-transition nets, graphs with dynamical processes defined on them - Petri and Sleptsov nets, and graphs as programming languages - Presents all the key tools and techniques as well as the foundations of graph theory, including mathematical concepts, research, and graph analytics
Axionomics
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Author : Ronald Legarski
language : en
Publisher: SolveForce
Release Date : 2025-02-24
Axionomics written by Ronald Legarski and has been published by SolveForce this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-02-24 with Philosophy categories.
Axionomics presents a comprehensive, recursive framework that unifies axiomatic principles, atomic structures, quantum mechanics, and decentralized knowledge systems into a self-regulating, axiom-driven knowledge and energy economy. By integrating linguistic organization, artificial intelligence (AI), blockchain-backed verification, and decentralized scientific governance, this revolutionary model creates a seamless bridge between foundational principles and applied systems. Operating simultaneously across quantum, atomic, and macroscopic organizational scales, Axionomics leverages recursive feedback loops and self-referential processes to enable continuous adaptation and optimization. This dynamic, self-evolving architecture refines itself in response to new discoveries while preserving core axiomatic integrity, ensuring the stability of knowledge structures even in rapidly advancing scientific fields. By fostering interdisciplinary collaboration, Axionomics reshapes scientific inquiry, computational intelligence, and organizational governance. This system transcends conventional limitations, offering a self-optimizing knowledge ecosystem that harmonizes theory and practice, unlocking new frontiers in innovation, knowledge distribution, and decentralized intelligence networks. As a transformative model, Axionomics redefines how we understand, verify, and apply knowledge, setting the foundation for a future driven by recursive intelligence, axiomatic reasoning, and sustainable progress.