Dynamic Knowledge Representation in Scientific Domains

Dynamic Knowledge Representation in Scientific Domains PDF Author: Pshenichny, Cyril
Publisher: IGI Global
ISBN: 1522552626
Category : Science
Languages : en
Pages : 420

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Book Description
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

Dynamic Knowledge Representation in Scientific Domains PDF Author: Pshenichny, Cyril
Publisher: IGI Global
ISBN: 1522552626
Category : Science
Languages : en
Pages : 420

Get Book Here

Book Description
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.

Handbook of Knowledge Representation

Handbook of Knowledge Representation PDF Author: Frank van Harmelen
Publisher: Elsevier
ISBN: 0080557023
Category : Computers
Languages : en
Pages : 1035

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Book Description
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

Understanding Dynamics of Geographic Domains

Understanding Dynamics of Geographic Domains PDF Author: Kathleen S. Hornsby
Publisher: CRC Press
ISBN: 142006035X
Category : Computers
Languages : en
Pages : 244

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Book Description
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

Mapping Knowledge Domains PDF Author: Proceedings of the National Academy of Sciences
Publisher: National Academies Press
ISBN: 0309092329
Category : Science
Languages : en
Pages : 422

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Book Description


Collaborative Knowledge in Scientific Research Networks

Collaborative Knowledge in Scientific Research Networks PDF Author: Diviacco, Paolo
Publisher: IGI Global
ISBN: 1466665688
Category : Science
Languages : en
Pages : 495

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Book Description
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

Handbook of Research on Advanced Applications of Graph Theory in Modern Society PDF Author: Pal, Madhumangal
Publisher: IGI Global
ISBN: 1522593829
Category : Computers
Languages : en
Pages : 615

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Book Description
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.

Operational Research and the Social Sciences

Operational Research and the Social Sciences PDF Author: S.A. Cropper
Publisher: Springer Science & Business Media
ISBN: 1461307899
Category : Psychology
Languages : en
Pages : 694

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Book Description
Twenty five years ago, in 1964, The Operational Research Society's first International Conference (held at Gonville and Caius College, Cambridge) took as its theme "Operational Research and the Social Sciences". The Conference sessions were organised around topics such as: Organisations and Control; Social Effects of Policies; Conflict Resolution; The Systems Concept; Models, Decisions and Operational Research. An examination of the published proceedings (J.R.Lawrence ed., 1966, Operational Research and the Social Sciences, Tavistock, London) reveals a distinct contrast between the types of contribution made by the representatives of the two academic communities involved. Nevertheless, the Conference served to break down some barriers, largely of ignorance about the objects, methods and findings of each concern. In the ensuing twenty five years, although debate has continued about the relationship between OR and the social sciences, mutual understanding has proved more difficult to achieve than many must have hoped for in 1964.

Computational Discovery of Scientific Knowledge

Computational Discovery of Scientific Knowledge PDF Author: Saso Dzeroski
Publisher: Springer
ISBN: 3540739203
Category : Language Arts & Disciplines
Languages : en
Pages : 333

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Book Description
This survey provides an introduction to computational approaches to the discovery of communicable scientific knowledge and details recent advances. It is partly inspired by the contributions of the International Symposium on Computational Discovery of Communicable Knowledge, held in Stanford, CA, USA in March 2001, a number of additional invited contributions provide coverage of recent research in computational discovery.

Semantic Web Science and Real-World Applications

Semantic Web Science and Real-World Applications PDF Author: Lytras, Miltiadis D.
Publisher: IGI Global
ISBN: 1522571876
Category : Computers
Languages : en
Pages : 415

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Book Description
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.

Translational Systems Biology

Translational Systems Biology PDF Author: Yoram Vodovotz
Publisher: Elsevier
ISBN: 0123978904
Category : Technology & Engineering
Languages : en
Pages : 179

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Book Description
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